Triple
T5226767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Mann Theater |
E118009
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Ted Mann
Ted Mann was an American film exhibitor and businessman best known for owning the Mann Theatres chain and the historic Grauman’s Chinese Theatre in Hollywood.
|
E502610
|
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 Mann | Statement: [Ted Mann Theater, namedAfter, Ted Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Mann Context triple: [Ted Mann Theater, namedAfter, Ted Mann]
-
A.
Robert Mann
Robert Mann was a 19th-century American man best known as the son of influential education reformer Horace Mann.
-
B.
Ted Cheesman
Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
-
C.
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.
-
D.
Scott Ehrlich
Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
-
E.
Dan Sullivan
Dan Sullivan is a Republican U.S. Senator from Alaska, known for his work on national security, energy policy, and Arctic issues.
- 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 Mann Triple: [Ted Mann Theater, namedAfter, Ted Mann]
Generated description
Ted Mann was an American film exhibitor and businessman best known for owning the Mann Theatres chain and the historic Grauman’s Chinese Theatre in Hollywood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Mann Target entity description: Ted Mann was an American film exhibitor and businessman best known for owning the Mann Theatres chain and the historic Grauman’s Chinese Theatre in Hollywood.
-
A.
Robert Mann
Robert Mann was a 19th-century American man best known as the son of influential education reformer Horace Mann.
-
B.
Ted Cheesman
Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
-
C.
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.
-
D.
Scott Ehrlich
Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
-
E.
Dan Sullivan
Dan Sullivan is a Republican U.S. Senator from Alaska, known for his work on national security, energy policy, and Arctic issues.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7addbdb88190baf9f47fc4cbb7fc |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeffea8f481909c86c932781c4e2a |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef097f5e48190b8a28995f345c764 |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef0f0ceb081908600d75b6e52f45a |
completed | March 21, 2026, 7:26 p.m. |
Created at: March 20, 2026, 1:48 p.m.