Triple
T20029108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Because of Winn-Dixie |
E495071
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Nick Price
Nick Price is an actor best known for his role in the family film "Because of Winn-Dixie."
|
E1406616
|
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: Nick Price | Statement: [Because of Winn-Dixie, castMember, Nick Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Price Context triple: [Because of Winn-Dixie, castMember, Nick Price]
-
A.
Nick Price
Nick Price is a Zimbabwean professional golfer renowned for his multiple major championship victories and former world No. 1 ranking.
-
B.
Glen Austin
Glen Austin is a residential and semi-rural suburb located within the Midrand area of Johannesburg, South Africa.
-
C.
Michael Spiller
Michael Spiller is an American cinematographer and television director known for his work on numerous acclaimed TV comedies and films.
-
D.
Luke Donald
Luke Donald is an English professional golfer renowned for reaching world number one and excelling on both the PGA and European Tours.
-
E.
Tom Willett
Tom Willett is an English actor and YouTube personality known for his humorous and often eccentric online videos.
- 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: Nick Price Triple: [Because of Winn-Dixie, castMember, Nick Price]
Generated description
Nick Price is an actor best known for his role in the family film "Because of Winn-Dixie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Price Target entity description: Nick Price is an actor best known for his role in the family film "Because of Winn-Dixie."
-
A.
Nick Price
Nick Price is a Zimbabwean professional golfer renowned for his multiple major championship victories and former world No. 1 ranking.
-
B.
Glen Austin
Glen Austin is a residential and semi-rural suburb located within the Midrand area of Johannesburg, South Africa.
-
C.
Michael Spiller
Michael Spiller is an American cinematographer and television director known for his work on numerous acclaimed TV comedies and films.
-
D.
Luke Donald
Luke Donald is an English professional golfer renowned for reaching world number one and excelling on both the PGA and European Tours.
-
E.
Tom Willett
Tom Willett is an English actor and YouTube personality known for his humorous and often eccentric online videos.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e312e38819088a75309f6f43ba2 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080eb8c4b48190b60b9ec2b8aed182 |
completed | May 16, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f2b2a4881909bd514080858301e |
completed | May 16, 2026, 6:31 a.m. |
Created at: April 11, 2026, 3:36 p.m.