Triple
T22803371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Capture |
E564462
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Ginny Holder
Ginny Holder is a British actress known for her roles in television dramas and series, including the thriller "The Capture."
|
E1555766
|
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: Ginny Holder | Statement: [The Capture, castMember, Ginny Holder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginny Holder Context triple: [The Capture, castMember, Ginny Holder]
-
A.
Loretha C. Jones
Loretha C. Jones is a film producer best known for her work on the 1993 superhero comedy "The Meteor Man."
-
B.
Shirley Yarbrough
Shirley Yarbrough was the wife of prominent civil rights leader and presidential adviser Vernon E. Jordan Jr.
-
C.
Lucinda W. Hinton
Lucinda W. Hinton is an actress known for her role in the 1977 film "Greased Lightning," a biographical drama about race car driver Wendell Scott.
-
D.
Alma Wade
Alma Wade is the central, psychic-powered antagonist whose haunting presence drives the horror narrative of the F.E.A.R. video game series.
-
E.
Fannie Deberry
Fannie Deberry is an individual historically referred to with the honorific "Miss," suggesting a woman known in a personal, social, or possibly local historical context rather than as a widely documented public figure.
- 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: Ginny Holder Triple: [The Capture, castMember, Ginny Holder]
Generated description
Ginny Holder is a British actress known for her roles in television dramas and series, including the thriller "The Capture."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ginny Holder Target entity description: Ginny Holder is a British actress known for her roles in television dramas and series, including the thriller "The Capture."
-
A.
Loretha C. Jones
Loretha C. Jones is a film producer best known for her work on the 1993 superhero comedy "The Meteor Man."
-
B.
Shirley Yarbrough
Shirley Yarbrough was the wife of prominent civil rights leader and presidential adviser Vernon E. Jordan Jr.
-
C.
Lucinda W. Hinton
Lucinda W. Hinton is an actress known for her role in the 1977 film "Greased Lightning," a biographical drama about race car driver Wendell Scott.
-
D.
Alma Wade
Alma Wade is the central, psychic-powered antagonist whose haunting presence drives the horror narrative of the F.E.A.R. video game series.
-
E.
Fannie Deberry
Fannie Deberry is an individual historically referred to with the honorific "Miss," suggesting a woman known in a personal, social, or possibly local historical context rather than as a widely documented public figure.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5a7c2881909a7aaacddd09f00c |
completed | April 29, 2026, 3:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e9b35e08190a3ad478355279253 |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba2386bf88190911fe2cd9870023a |
completed | May 18, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba2bae9888190a8d115579643695b |
completed | May 18, 2026, 11:37 p.m. |
Created at: April 17, 2026, 3:31 p.m.