Triple
T5067354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neve Campbell |
E114175
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jeff Colt
Jeff Colt is a Canadian actor best known for his past marriage to actress Neve Campbell.
|
E491134
|
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: Jeff Colt | Statement: [Neve Campbell, spouse, Jeff Colt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Colt Context triple: [Neve Campbell, spouse, Jeff Colt]
-
A.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
B.
Jack Colton
Jack Colton is a rugged, adventurous bird smuggler-turned-hero who helps romance novelist Joan Wilder navigate the Colombian jungle in the film "Romancing the Stone."
-
C.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
-
D.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
E.
Ryan Brant
Ryan Brant was an American businessman best known as the founding CEO of video game publisher Take-Two Interactive, the company behind major franchises like Grand Theft Auto.
- 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: Jeff Colt Triple: [Neve Campbell, spouse, Jeff Colt]
Generated description
Jeff Colt is a Canadian actor best known for his past marriage to actress Neve Campbell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Colt Target entity description: Jeff Colt is a Canadian actor best known for his past marriage to actress Neve Campbell.
-
A.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
B.
Jack Colton
Jack Colton is a rugged, adventurous bird smuggler-turned-hero who helps romance novelist Joan Wilder navigate the Colombian jungle in the film "Romancing the Stone."
-
C.
Brian Routh
Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
-
D.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
E.
Ryan Brant
Ryan Brant was an American businessman best known as the founding CEO of video game publisher Take-Two Interactive, the company behind major franchises like Grand Theft Auto.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749bf69c819093e75dce56f1c0ab |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4a027a88190a515a374e5405d8a |
completed | March 21, 2026, 2:01 p.m. |
| NEDg | Description generation | batch_69bea74d0d108190b01b50cb8d08f5d9 |
completed | March 21, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea7bcc134819092b93b7d7e6abce9 |
completed | March 21, 2026, 2:14 p.m. |
Created at: March 20, 2026, 1:38 p.m.