Triple
T9854879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transporter 2 |
E239557
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Alexandre Azaria |
E821881
|
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: Alexandre Azaria | Statement: [Transporter 2, musicBy, Alexandre Azaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandre Azaria Context triple: [Transporter 2, musicBy, Alexandre Azaria]
-
A.
Alexandre Azaria
chosen
Alexandre Azaria is a French composer and musician known for his film scores and work in rock and pop music.
-
B.
Antoine Gili
Antoine Gili is an artist known for creating works featured in the Cathédrale Notre-Dame de la Nativité in Vence, France.
-
C.
Mike Melvill
Mike Melvill is a South African-born American test pilot best known as the first commercial astronaut, having piloted the privately funded SpaceShipOne on its historic suborbital flights.
-
D.
Claude Lecomte
Claude Lecomte is a cinematographer known for his work on the French film "A Very Curious Girl."
-
E.
Gabriel Leveque
Gabriel Leveque was an artist known for creating religious murals, including notable works in Port-au-Prince’s Holy Trinity Cathedral.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5f5b6148190bcccebd0aefb4bc9 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.