Triple
T10340214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Rafelson |
E243107
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gabrielle Taurek
Gabrielle Taurek is an American actress and producer best known for her work in independent films and her long-term partnership with filmmaker Bob Rafelson.
|
E858258
|
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: Gabrielle Taurek | Statement: [Bob Rafelson, spouse, Gabrielle Taurek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabrielle Taurek Context triple: [Bob Rafelson, spouse, Gabrielle Taurek]
-
A.
Gabrielle Tana
Gabrielle Tana is a British film producer known for acclaimed dramas such as "Philomena" and other prestige, character-driven films.
-
B.
Gabrielle Starr
Gabrielle Starr is an American literary scholar and academic administrator who serves as the president of Pomona College.
-
C.
Gabrielle Gerard
Gabrielle Gerard is the principal female character in the classic MGM musical film "The Band Wagon," portrayed as a talented ballerina and Fred Astaire’s romantic and dance partner.
-
D.
Gabrielle Glore
Gabrielle Glore is a film producer best known for her work on the romantic drama "Sylvie’s Love."
-
E.
Gabrielle Stone
Gabrielle Stone is an American actress and author, known for her work in independent films and for writing the bestselling memoir "Eat, Pray, #FML."
- 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: Gabrielle Taurek Triple: [Bob Rafelson, spouse, Gabrielle Taurek]
Generated description
Gabrielle Taurek is an American actress and producer best known for her work in independent films and her long-term partnership with filmmaker Bob Rafelson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabrielle Taurek Target entity description: Gabrielle Taurek is an American actress and producer best known for her work in independent films and her long-term partnership with filmmaker Bob Rafelson.
-
A.
Gabrielle Tana
Gabrielle Tana is a British film producer known for acclaimed dramas such as "Philomena" and other prestige, character-driven films.
-
B.
Gabrielle Starr
Gabrielle Starr is an American literary scholar and academic administrator who serves as the president of Pomona College.
-
C.
Gabrielle Gerard
Gabrielle Gerard is the principal female character in the classic MGM musical film "The Band Wagon," portrayed as a talented ballerina and Fred Astaire’s romantic and dance partner.
-
D.
Gabrielle Glore
Gabrielle Glore is a film producer best known for her work on the romantic drama "Sylvie’s Love."
-
E.
Gabrielle Stone
Gabrielle Stone is an American actress and author, known for her work in independent films and for writing the bestselling memoir "Eat, Pray, #FML."
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a526a08190afe7091a0cf1f073 |
completed | April 7, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7506a07888190b91e78247e81fe57 |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d7618c9abc819080c4d6669dfb8320 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7702ae24481908b0f5319413e81d4 |
completed | April 9, 2026, 9:23 a.m. |
Created at: April 6, 2026, 11:54 a.m.