Triple
T17340531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two English Girls |
E421053
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Stacey Tendeter
Stacey Tendeter was a British actress best known for her role in François Truffaut’s film "Two English Girls."
|
E1270042
|
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: Stacey Tendeter | Statement: [Two English Girls, castMember, Stacey Tendeter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stacey Tendeter Context triple: [Two English Girls, castMember, Stacey Tendeter]
-
A.
Stacey Sutton
Stacey Sutton is a fictional geologist and Bond girl who appears as a key ally to James Bond in the 1985 film "A View to a Kill."
-
B.
Stacey Fountain
Stacey Fountain is known for being one of the former wives of American rock musician Gregg Allman.
-
C.
Stacey Schroeder
Stacey Schroeder is a film editor best known for her work on the biographical comedy-drama "The Disaster Artist."
-
D.
Stacey Colbert
Stacey Colbert is a central character in the 1990s sitcom "Ned and Stacey," portrayed as an ambitious, sharp-tongued journalist who enters a marriage of convenience with ad executive Ned Dorsey.
-
E.
Staci Keanan
Staci Keanan is an American actress best known for her roles in popular late-1980s and 1990s sitcoms, particularly as a child and teen star.
- 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: Stacey Tendeter Triple: [Two English Girls, castMember, Stacey Tendeter]
Generated description
Stacey Tendeter was a British actress best known for her role in François Truffaut’s film "Two English Girls."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stacey Tendeter Target entity description: Stacey Tendeter was a British actress best known for her role in François Truffaut’s film "Two English Girls."
-
A.
Stacey Sutton
Stacey Sutton is a fictional geologist and Bond girl who appears as a key ally to James Bond in the 1985 film "A View to a Kill."
-
B.
Stacey Fountain
Stacey Fountain is known for being one of the former wives of American rock musician Gregg Allman.
-
C.
Stacey Schroeder
Stacey Schroeder is a film editor best known for her work on the biographical comedy-drama "The Disaster Artist."
-
D.
Stacey Colbert
Stacey Colbert is a central character in the 1990s sitcom "Ned and Stacey," portrayed as an ambitious, sharp-tongued journalist who enters a marriage of convenience with ad executive Ned Dorsey.
-
E.
Staci Keanan
Staci Keanan is an American actress best known for her roles in popular late-1980s and 1990s sitcoms, particularly as a child and teen star.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a15f6488190ad7d489e7391ab12 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b810c24c8190800cca5092c599a0 |
completed | May 11, 2026, 11:05 a.m. |
| NEDg | Description generation | batch_6a01b8c906ec8190ae9e56b3bdb97fe4 |
completed | May 11, 2026, 11:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b9343028819082933b51bb092b3d |
completed | May 11, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:44 a.m.