Triple
T17018453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Grace |
E412881
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Bridget Terry
Bridget Terry is a filmmaker and producer best known for creating the film "State of Grace."
|
E1314206
|
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: Bridget Terry | Statement: [State of Grace, creator, Bridget Terry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridget Terry Context triple: [State of Grace, creator, Bridget Terry]
-
A.
Bridget Tierney
Bridget Tierney is an actress known for her role in the television film "In the Gloaming."
-
B.
Maureen Teefy
Maureen Teefy is an American actress best known for her roles in films such as "Fame" and "Grease 2."
-
C.
Bridget Durnford
Bridget Durnford is a film editor best known for her work on the horror-comedy movie "Tucker & Dale vs. Evil."
-
D.
Bridget O’Connor
Bridget O’Connor was a British screenwriter and playwright best known for co-writing the acclaimed adaptation of John le Carré’s Tinker Tailor Soldier Spy (2011).
-
E.
Lisa McGrillis
Lisa McGrillis is a British actress known for her work in television, film, and theatre, including roles in series like "Inspector George Gently" and "Mum."
- 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: Bridget Terry Triple: [State of Grace, creator, Bridget Terry]
Generated description
Bridget Terry is a filmmaker and producer best known for creating the film "State of Grace."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bridget Terry Target entity description: Bridget Terry is a filmmaker and producer best known for creating the film "State of Grace."
-
A.
Bridget Tierney
Bridget Tierney is an actress known for her role in the television film "In the Gloaming."
-
B.
Maureen Teefy
Maureen Teefy is an American actress best known for her roles in films such as "Fame" and "Grease 2."
-
C.
Bridget Durnford
Bridget Durnford is a film editor best known for her work on the horror-comedy movie "Tucker & Dale vs. Evil."
-
D.
Bridget O’Connor
Bridget O’Connor was a British screenwriter and playwright best known for co-writing the acclaimed adaptation of John le Carré’s Tinker Tailor Soldier Spy (2011).
-
E.
Lisa McGrillis
Lisa McGrillis is a British actress known for her work in television, film, and theatre, including roles in series like "Inspector George Gently" and "Mum."
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d481a0988190a13d0928e0c7ebbf |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac5273648190b3a1e01ea9ccde9a |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad4d5bcc8190a5e065a5bb897400 |
completed | May 12, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03af1fb1e0819095c9e8cb5528ce30 |
completed | May 12, 2026, 10:52 p.m. |
Created at: April 10, 2026, 5:33 a.m.