Triple
T4609900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Black Cauldron |
E100528
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Ted Berman
Ted Berman was an American animator and film director best known for his work at Walt Disney Productions during the studio’s classic and transitional eras.
|
E466414
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ted Berman | Statement: [The Black Cauldron, director, Ted Berman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Berman Context triple: [The Black Cauldron, director, Ted Berman]
-
A.
Phillip Berman
Phillip Berman is a writer best known for coauthoring the spiritual and philosophical work "Reason for Hope: A Spiritual Journey" with primatologist Jane Goodall.
-
B.
Mitch Kertzman
Mitch Kertzman is an American technology executive and entrepreneur best known for his leadership roles in the software and semiconductor industries, including at companies like LSI Logic and Sybase.
-
C.
Tom Leppert
Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
-
D.
Ted Krovetz
Ted Krovetz is a cryptographer and computer scientist known for his work on authenticated encryption and contributions to practical cryptographic algorithms and standards.
-
E.
John Heyman
John Heyman was a British film and television producer and financier known for backing and producing a range of notable international films from the 1960s onward.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ted Berman Triple: [The Black Cauldron, director, Ted Berman]
Generated description
Ted Berman was an American animator and film director best known for his work at Walt Disney Productions during the studio’s classic and transitional eras.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Berman Target entity description: Ted Berman was an American animator and film director best known for his work at Walt Disney Productions during the studio’s classic and transitional eras.
-
A.
Phillip Berman
Phillip Berman is a writer best known for coauthoring the spiritual and philosophical work "Reason for Hope: A Spiritual Journey" with primatologist Jane Goodall.
-
B.
Mitch Kertzman
Mitch Kertzman is an American technology executive and entrepreneur best known for his leadership roles in the software and semiconductor industries, including at companies like LSI Logic and Sybase.
-
C.
Tom Leppert
Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
-
D.
Ted Krovetz
Ted Krovetz is a cryptographer and computer scientist known for his work on authenticated encryption and contributions to practical cryptographic algorithms and standards.
-
E.
John Heyman
John Heyman was a British film and television producer and financier known for backing and producing a range of notable international films from the 1960s onward.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59be3300819095e548b488c8f75e |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39939efc8190a3f49e1315f35782 |
completed | March 21, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69be3adc766c8190ae5cbe5be14b720a |
completed | March 21, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3b645aac8190a6765f0679dd3735 |
completed | March 21, 2026, 6:32 a.m. |
Created at: March 20, 2026, 1:12 p.m.