Triple
T2351184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Macbeth |
E47451
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Fodhla Cronin O’Reilly
Fodhla Cronin O’Reilly is an Irish film producer known for her work on acclaimed independent films, including the psychological drama "Lady Macbeth."
|
E263418
|
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: Fodhla Cronin O’Reilly | Statement: [Lady Macbeth, producer, Fodhla Cronin O’Reilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fodhla Cronin O’Reilly Context triple: [Lady Macbeth, producer, Fodhla Cronin O’Reilly]
-
A.
Orla Fitzgerald
Orla Fitzgerald is an Irish actress best known for her role in the historical drama film "The Wind That Shakes the Barley."
-
B.
Gráinne Hayes
Gráinne Hayes is known as the former wife of British politician and Brexit campaigner Nigel Farage.
-
C.
Mary O'Riordan
Mary O'Riordan is an actress known for her role in the Irish historical drama film "The Wind That Shakes the Barley."
-
D.
Meabh Flynn
Meabh Flynn is a British filmmaker and music video director best known for her creative collaborations with and marriage to musician Peter Gabriel.
-
E.
Tara Fitzgerald
Tara Fitzgerald is an English actress known for her work in film, television, and theatre, including roles in "Brassed Off" and "Game of Thrones."
- 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: Fodhla Cronin O’Reilly Triple: [Lady Macbeth, producer, Fodhla Cronin O’Reilly]
Generated description
Fodhla Cronin O’Reilly is an Irish film producer known for her work on acclaimed independent films, including the psychological drama "Lady Macbeth."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fodhla Cronin O’Reilly Target entity description: Fodhla Cronin O’Reilly is an Irish film producer known for her work on acclaimed independent films, including the psychological drama "Lady Macbeth."
-
A.
Orla Fitzgerald
Orla Fitzgerald is an Irish actress best known for her role in the historical drama film "The Wind That Shakes the Barley."
-
B.
Gráinne Hayes
Gráinne Hayes is known as the former wife of British politician and Brexit campaigner Nigel Farage.
-
C.
Mary O'Riordan
Mary O'Riordan is an actress known for her role in the Irish historical drama film "The Wind That Shakes the Barley."
-
D.
Meabh Flynn
Meabh Flynn is a British filmmaker and music video director best known for her creative collaborations with and marriage to musician Peter Gabriel.
-
E.
Tara Fitzgerald
Tara Fitzgerald is an English actress known for her work in film, television, and theatre, including roles in "Brassed Off" and "Game of Thrones."
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3c37c448190b2d1fd5c404e0050 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb48dfbfc81908193c909315bd030 |
completed | March 9, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb57af28c8190bfca30ad3e7ca8b3 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:54 p.m.