Triple
T5653042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prisoners |
E124550
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Nancy Birch
Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
|
E692014
|
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: Nancy Birch | Statement: [Prisoners, mainCharacter, Nancy Birch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Birch Context triple: [Prisoners, mainCharacter, Nancy Birch]
-
A.
Nancy Morris
Nancy Morris was the wife of American politician and U.S. Representative Henry Winter Davis, a prominent figure in Maryland politics during the mid-19th century.
-
B.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
-
C.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
D.
Nancy Wheeler
Nancy Wheeler is a determined and resourceful teenager in the series "Stranger Things," known for her investigative instincts and courage in confronting supernatural threats.
-
E.
Nancy Dickson
Nancy Dickson is known as the wife of American attorney and statesman James Baker, who served in several high-level U.S. government positions.
- 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: Nancy Birch Triple: [Prisoners, mainCharacter, Nancy Birch]
Generated description
Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Birch Target entity description: Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
-
A.
Nancy Morris
Nancy Morris was the wife of American politician and U.S. Representative Henry Winter Davis, a prominent figure in Maryland politics during the mid-19th century.
-
B.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
-
C.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
D.
Nancy Wheeler
Nancy Wheeler is a determined and resourceful teenager in the series "Stranger Things," known for her investigative instincts and courage in confronting supernatural threats.
-
E.
Nancy Dickson
Nancy Dickson is known as the wife of American attorney and statesman James Baker, who served in several high-level U.S. government positions.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d8a2588190b10de59edbc8841f |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9cf41d5308190be3ce32a4f7b707a |
completed | March 30, 2026, 1:17 a.m. |
| NEDg | Description generation | batch_69c9cfde68fc81908c762af93e181c01 |
completed | March 30, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9d030020c8190b0de5032138dc33e |
completed | March 30, 2026, 1:21 a.m. |
Created at: March 22, 2026, 3:42 p.m.