Triple
T10545521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty and the Beast (1991 film) |
E248806
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object |
Tom Ellery
Tom Ellery is a screenwriter and story artist best known for contributing to the story development of Disney’s animated classic "Beauty and the Beast" (1991).
|
E869976
|
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: Tom Ellery | Statement: [Beauty and the Beast (1991 film), storyBy, Tom Ellery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Ellery Context triple: [Beauty and the Beast (1991 film), storyBy, Tom Ellery]
-
A.
Sam Ellis
Sam Ellis is a music producer known for his work on Taylor Swift’s self-titled debut album.
-
B.
Ellis Shepherd
Ellis Shepherd is the younger daughter of Meredith Grey and Derek Shepherd on the television series "Grey's Anatomy."
-
C.
John Parr
John Parr is an English rock singer and musician best known for his 1985 hit single "St. Elmo's Fire (Man in Motion)" from the film of the same name.
-
D.
Elliot Carver
Elliot Carver is the power-hungry media mogul and primary antagonist in the James Bond film "Tomorrow Never Dies."
-
E.
Elliot Carlin
Elliot Carlin is a neurotic, self-absorbed patient on the classic sitcom "The Bob Newhart Show," known for his sarcastic and insecure personality.
- 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: Tom Ellery Triple: [Beauty and the Beast (1991 film), storyBy, Tom Ellery]
Generated description
Tom Ellery is a screenwriter and story artist best known for contributing to the story development of Disney’s animated classic "Beauty and the Beast" (1991).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Ellery Target entity description: Tom Ellery is a screenwriter and story artist best known for contributing to the story development of Disney’s animated classic "Beauty and the Beast" (1991).
-
A.
Sam Ellis
Sam Ellis is a music producer known for his work on Taylor Swift’s self-titled debut album.
-
B.
Ellis Shepherd
Ellis Shepherd is the younger daughter of Meredith Grey and Derek Shepherd on the television series "Grey's Anatomy."
-
C.
John Parr
John Parr is an English rock singer and musician best known for his 1985 hit single "St. Elmo's Fire (Man in Motion)" from the film of the same name.
-
D.
Elliot Carver
Elliot Carver is the power-hungry media mogul and primary antagonist in the James Bond film "Tomorrow Never Dies."
-
E.
Elliot Carlin
Elliot Carlin is a neurotic, self-absorbed patient on the classic sitcom "The Bob Newhart Show," known for his sarcastic and insecure personality.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5191345ac81909bc404ba9574ce4c |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9344a53fc81909765061d07d0cd20 |
completed | April 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69d938c8b25c8190bb048053d8668e5c |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d939b1844881908c8fbcb9488863f6 |
completed | April 10, 2026, 5:56 p.m. |
Created at: April 6, 2026, 12:33 p.m.