Triple
T8572549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamara Tunie |
E202961
|
entity |
| Predicate | previousSpouse |
P493
|
FINISHED |
| Object |
Greg Bouquett
Greg Bouquett is known as the former husband of American actress and director Tamara Tunie.
|
E742500
|
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: Greg Bouquett | Statement: [Tamara Tunie, previousSpouse, Greg Bouquett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Bouquett Context triple: [Tamara Tunie, previousSpouse, Greg Bouquett]
-
A.
Eric Gautier
Eric Gautier is a French cinematographer renowned for his visually distinctive work on acclaimed international films and collaborations with prominent auteurs.
-
B.
Kevin Grevioux
Kevin Grevioux is an American actor, screenwriter, and comic book writer best known for co-creating the dark fantasy film franchise "Underworld."
-
C.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
D.
Roger Taillibert
Roger Taillibert was a French architect renowned for his innovative, sculptural modernist designs, most famously the Olympic Stadium in Montreal.
-
E.
Charles LeMaire
Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
- 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: Greg Bouquett Triple: [Tamara Tunie, previousSpouse, Greg Bouquett]
Generated description
Greg Bouquett is known as the former husband of American actress and director Tamara Tunie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Bouquett Target entity description: Greg Bouquett is known as the former husband of American actress and director Tamara Tunie.
-
A.
Eric Gautier
Eric Gautier is a French cinematographer renowned for his visually distinctive work on acclaimed international films and collaborations with prominent auteurs.
-
B.
Kevin Grevioux
Kevin Grevioux is an American actor, screenwriter, and comic book writer best known for co-creating the dark fantasy film franchise "Underworld."
-
C.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
D.
Roger Taillibert
Roger Taillibert was a French architect renowned for his innovative, sculptural modernist designs, most famously the Olympic Stadium in Montreal.
-
E.
Charles LeMaire
Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea43843c8190ac2224d427bb7a75 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce898cf8648190b52758b6ecf2959b |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8a9df47c81909ba9ef8dff1db7b1 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8b48841c8190bcf11aeb25355649 |
completed | April 2, 2026, 3:29 p.m. |
Created at: March 30, 2026, 6:21 p.m.