Triple
T14821904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butch Coolidge |
E348471
|
entity |
| Predicate | fiancée |
P17846
|
FINISHED |
| Object |
Fabienne
Fabienne is a gentle, somewhat naive French woman who is the devoted fiancée of boxer Butch Coolidge in Quentin Tarantino’s film "Pulp Fiction."
|
E1145974
|
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: Fabienne | Statement: [Butch Coolidge, fiancée, Fabienne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabienne Context triple: [Butch Coolidge, fiancée, Fabienne]
-
A.
Lucienne
Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
-
B.
Azélie
Azélie is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that explores themes of love, culture, and identity in a Louisiana setting.
-
C.
Laetitia
Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
-
D.
Marthette
Marthette is a feminine given name, used as a diminutive or affectionate variant of the name Marthe.
-
E.
Liliane
Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
- 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: Fabienne Triple: [Butch Coolidge, fiancée, Fabienne]
Generated description
Fabienne is a gentle, somewhat naive French woman who is the devoted fiancée of boxer Butch Coolidge in Quentin Tarantino’s film "Pulp Fiction."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabienne Target entity description: Fabienne is a gentle, somewhat naive French woman who is the devoted fiancée of boxer Butch Coolidge in Quentin Tarantino’s film "Pulp Fiction."
-
A.
Lucienne
Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
-
B.
Azélie
Azélie is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that explores themes of love, culture, and identity in a Louisiana setting.
-
C.
Laetitia
Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
-
D.
Marthette
Marthette is a feminine given name, used as a diminutive or affectionate variant of the name Marthe.
-
E.
Liliane
Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe64328819083ce42704cf0602d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5dee8988190b80cb487c12bfc2d |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee68055b88190afa0e3b1bc2b13bb |
completed | May 9, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee7190a6c81908fa7376f3e3c5371 |
completed | May 9, 2026, 7:49 a.m. |
Created at: April 10, 2026, 1:51 a.m.