Triple
T16105966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Better Luck Tomorrow |
E390738
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Fabienne Wen
Fabienne Wen is a screenwriter best known for co-writing the acclaimed indie crime drama film "Better Luck Tomorrow."
|
E1195150
|
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 Wen | Statement: [Better Luck Tomorrow, screenwriter, Fabienne Wen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabienne Wen Context triple: [Better Luck Tomorrow, screenwriter, Fabienne Wen]
-
A.
Simone Dienne
Simone Dienne was the wife of French poet and screenwriter Jacques Prévert, known primarily through her association with his life and work.
-
B.
Anne Dewavrin
Anne Dewavrin is a French socialite known primarily for her past marriage to billionaire businessman Bernard Arnault, the chairman and CEO of LVMH.
-
C.
Alexandra Lamy
Alexandra Lamy is a French actress best known for her comedic roles in film and television, particularly the hit series "Un gars, une fille."
-
D.
Stéphanie Von Euw
Stéphanie Von Euw is a French politician who serves as the mayor of the city of Pontoise in the Île-de-France region.
-
E.
Julie Le Brun
Julie Le Brun was the daughter and frequent portrait subject of the renowned French painter Élisabeth Vigée Le Brun, often depicted in her mother's celebrated works.
- 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 Wen Triple: [Better Luck Tomorrow, screenwriter, Fabienne Wen]
Generated description
Fabienne Wen is a screenwriter best known for co-writing the acclaimed indie crime drama film "Better Luck Tomorrow."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabienne Wen Target entity description: Fabienne Wen is a screenwriter best known for co-writing the acclaimed indie crime drama film "Better Luck Tomorrow."
-
A.
Simone Dienne
Simone Dienne was the wife of French poet and screenwriter Jacques Prévert, known primarily through her association with his life and work.
-
B.
Anne Dewavrin
Anne Dewavrin is a French socialite known primarily for her past marriage to billionaire businessman Bernard Arnault, the chairman and CEO of LVMH.
-
C.
Alexandra Lamy
Alexandra Lamy is a French actress best known for her comedic roles in film and television, particularly the hit series "Un gars, une fille."
-
D.
Stéphanie Von Euw
Stéphanie Von Euw is a French politician who serves as the mayor of the city of Pontoise in the Île-de-France region.
-
E.
Julie Le Brun
Julie Le Brun was the daughter and frequent portrait subject of the renowned French painter Élisabeth Vigée Le Brun, often depicted in her mother's celebrated works.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba1e4c08190a90f5102e0038056 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffed3d57388190a4d0faa58ee2a27b |
completed | May 10, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffedfb88a881909e6adbb3a372246b |
completed | May 10, 2026, 2:31 a.m. |
Created at: April 10, 2026, 5 a.m.