Triple
T7997857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foley |
E186171
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Claire Foley
Claire Foley is an American actress best known for her roles in television series such as "Do No Harm" and "Gotham."
|
E351355
|
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 Foley | Statement: [Foley, hasNotableBearer, Claire Foley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Foley Context triple: [Foley, hasNotableBearer, Claire Foley]
-
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.
Clare Foley
Clare Foley is an American actress known for her roles in film and television, including appearances in projects like the boxing drama "Southpaw" and the TV series "Gotham."
-
D.
Holly Faulks
Holly Faulks is known as the daughter of British novelist Sebastian Faulks.
-
E.
Claire Brialey
Claire Brialey is a prominent British science fiction fan writer and fanzine editor recognized for her influential contributions to fandom and multiple Hugo Award wins.
- 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 Foley Triple: [Foley, hasNotableBearer, Claire Foley]
Generated description
Claire Foley is an American actress best known for her roles in television series such as "Do No Harm" and "Gotham."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claire Foley Target entity description: Claire Foley is an American actress best known for her roles in television series such as "Do No Harm" and "Gotham."
-
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.
Clare Foley
chosen
Clare Foley is an American actress known for her roles in film and television, including appearances in projects like the boxing drama "Southpaw" and the TV series "Gotham."
-
D.
Holly Faulks
Holly Faulks is known as the daughter of British novelist Sebastian Faulks.
-
E.
Claire Brialey
Claire Brialey is a prominent British science fiction fan writer and fanzine editor recognized for her influential contributions to fandom and multiple Hugo Award wins.
- F. None of above.
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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c98e39081908904d36a31bd6768 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe17811081909c19f18c853617af |
completed | April 1, 2026, 6:41 a.m. |
| NEDg | Description generation | batch_69ccc24a39f88190995f076d1a7ec3e7 |
completed | April 1, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccc37f0ca88190b4e077f23dbbe6f8 |
completed | April 1, 2026, 7:04 a.m. |
Created at: March 30, 2026, 5:17 p.m.