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.