Triple
T11995408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominique Blanc |
E285515
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Indochine |
E663468
|
NE FINISHED |
How this triple was built (2 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: Indochine | Statement: [Dominique Blanc, notableWork, Indochine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indochine Context triple: [Dominique Blanc, notableWork, Indochine]
-
A.
Indochine
chosen
Indochine is a 1992 French historical drama film set in colonial French Indochina, renowned for its sweeping romance, political backdrop, and an Academy Award for Best Foreign Language Film.
-
B.
Wang Chung
Wang Chung is a British new wave band best known for their 1980s hits and for composing the soundtrack to the film "To Live and Die in L.A."
-
C.
Alborosie
Alborosie is an Italian-born reggae artist and producer known for his roots-influenced sound and prominent role in contemporary Jamaican reggae music.
-
D.
Far East Movement
Far East Movement is an American electro-pop and hip hop group best known for their global hit single "Like a G6."
-
E.
Chinatown Band
Chinatown Band is a musical group best known for providing the soundtrack to the film "Saint Jack."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b211688190bfe6dd15c3f96d2f |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47273e1088190b899071baff1375a |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.