Triple
T4359050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Gainsbourg |
E98618
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Lou Doillon
Lou Doillon is a French singer-songwriter, actress, and model known for her distinctive husky voice and work in both music and film.
|
E434241
|
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: Lou Doillon | Statement: [Charlotte Gainsbourg, sibling, Lou Doillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lou Doillon Context triple: [Charlotte Gainsbourg, sibling, Lou Doillon]
-
A.
Eve Hewson
Eve Hewson is an Irish actress known for her roles in films like "The Knick," "Bridge of Spies," and the series "Bad Sisters."
-
B.
Lois O’Connor
Lois O’Connor was the wife of acclaimed American stage and film actor Jason Robards.
-
C.
Julia Ormond
Julia Ormond is a British actress known for her roles in films such as "Legends of the Fall," "Sabrina," and "The Curious Case of Benjamin Button."
-
D.
Michelle Monaghan
Michelle Monaghan is an American actress known for her roles in films such as "Gone Baby Gone" and the "Mission: Impossible" series, as well as various television dramas.
-
E.
Kelly Reilly
Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
- 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: Lou Doillon Triple: [Charlotte Gainsbourg, sibling, Lou Doillon]
Generated description
Lou Doillon is a French singer-songwriter, actress, and model known for her distinctive husky voice and work in both music and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lou Doillon Target entity description: Lou Doillon is a French singer-songwriter, actress, and model known for her distinctive husky voice and work in both music and film.
-
A.
Eve Hewson
Eve Hewson is an Irish actress known for her roles in films like "The Knick," "Bridge of Spies," and the series "Bad Sisters."
-
B.
Lois O’Connor
Lois O’Connor was the wife of acclaimed American stage and film actor Jason Robards.
-
C.
Julia Ormond
Julia Ormond is a British actress known for her roles in films such as "Legends of the Fall," "Sabrina," and "The Curious Case of Benjamin Button."
-
D.
Michelle Monaghan
Michelle Monaghan is an American actress known for her roles in films such as "Gone Baby Gone" and the "Mission: Impossible" series, as well as various television dramas.
-
E.
Kelly Reilly
Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e1bfa48190bb506d9ca1ed7b6a |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbbf9db88190a3058e6a44080000 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dc3d81a08190b29b633009fab4ff |
completed | March 14, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e04f356c81909e3f6f2c865e0f99 |
completed | March 14, 2026, 10:25 p.m. |
Created at: March 12, 2026, 11:16 p.m.