Triple
T20004468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bel Powley |
E494413
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Claire Conway
Claire Conway is a fictional character played by English actress Bel Powley, likely featured in a film or television drama.
|
E1423256
|
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: Claire Conway | Statement: [Bel Powley, portrayed, Claire Conway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Conway Context triple: [Bel Powley, portrayed, Claire Conway]
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Claire McDowell
Claire McDowell was an American silent film actress known for her prolific work in early cinema, often appearing in D.W. Griffith productions.
-
C.
Claire Dodd
Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
-
D.
Claire Douglas
Claire Douglas was the second wife of reclusive American author J. D. Salinger and the mother of two of his children.
-
E.
Claire Washburn
Claire Washburn is a medical examiner and close friend of Lindsay Boxer in James Patterson's Women's Murder Club crime thriller series.
- 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: Claire Conway Triple: [Bel Powley, portrayed, Claire Conway]
Generated description
Claire Conway is a fictional character played by English actress Bel Powley, likely featured in a film or television drama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claire Conway Target entity description: Claire Conway is a fictional character played by English actress Bel Powley, likely featured in a film or television drama.
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Claire McDowell
Claire McDowell was an American silent film actress known for her prolific work in early cinema, often appearing in D.W. Griffith productions.
-
C.
Claire Dodd
Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
-
D.
Claire Douglas
Claire Douglas was the second wife of reclusive American author J. D. Salinger and the mother of two of his children.
-
E.
Claire Washburn
Claire Washburn is a medical examiner and close friend of Lindsay Boxer in James Patterson's Women's Murder Club crime thriller series.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a46c748190a141ab5aac6ea250 |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086103b4c4819085616d98a9b4dc84 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a0861b954888190a6305aa805aa97ff |
completed | May 16, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0862237d148190b4e12c878ca9c7a2 |
completed | May 16, 2026, 12:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.