Triple
T5892943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anastasia (1997 film) |
E131033
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Amy Pell
Amy Pell is a film producer best known for her work on the animated musical feature "Anastasia" (1997).
|
E554037
|
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: Amy Pell | Statement: [Anastasia (1997 film), producer, Amy Pell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Pell Context triple: [Anastasia (1997 film), producer, Amy Pell]
-
A.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
-
B.
Amy Vincent
Amy Vincent is an American cinematographer known for her work on independent and studio films, including the psychological drama "The Caveman’s Valentine."
-
C.
Amy Palmer
Amy Palmer is one of the children of legendary American golfer Arnold Palmer.
-
D.
Amy Peterson
Amy Peterson is a central character in the 2011 horror-comedy film "Fright Night," serving as the protagonist's girlfriend who becomes entangled in his battle against a charismatic vampire neighbor.
-
E.
Amy Robinson
Amy Robinson is an American actress and film producer best known for her breakout role in Martin Scorsese’s 1973 film "Mean Streets."
- 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: Amy Pell Triple: [Anastasia (1997 film), producer, Amy Pell]
Generated description
Amy Pell is a film producer best known for her work on the animated musical feature "Anastasia" (1997).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amy Pell Target entity description: Amy Pell is a film producer best known for her work on the animated musical feature "Anastasia" (1997).
-
A.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
-
B.
Amy Vincent
Amy Vincent is an American cinematographer known for her work on independent and studio films, including the psychological drama "The Caveman’s Valentine."
-
C.
Amy Palmer
Amy Palmer is one of the children of legendary American golfer Arnold Palmer.
-
D.
Amy Peterson
Amy Peterson is a central character in the 2011 horror-comedy film "Fright Night," serving as the protagonist's girlfriend who becomes entangled in his battle against a charismatic vampire neighbor.
-
E.
Amy Robinson
Amy Robinson is an American actress and film producer best known for her breakout role in Martin Scorsese’s 1973 film "Mean Streets."
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b5c68481909fdcba428238c74d |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b15146888190ab86eaf9e565ee28 |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b53ad6dc8190927653c470515963 |
completed | March 23, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b5de67208190b1dda9509767c2a7 |
completed | March 23, 2026, 3:39 a.m. |
Created at: March 22, 2026, 3:58 p.m.