Triple
T16023015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Johnson |
E388649
|
entity |
| Predicate | associateOf |
P2830
|
FINISHED |
| Object | Jacques Renault |
E1189812
|
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: Jacques Renault | Statement: [Leo Johnson, associateOf, Jacques Renault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacques Renault Context triple: [Leo Johnson, associateOf, Jacques Renault]
-
A.
Jacques Renault
chosen
Jacques Renault is a shady Canadian bartender and drug dealer involved in the criminal underworld of the TV series "Twin Peaks."
-
B.
Fernand Renault
Fernand Renault was a French industrialist and one of the founding brothers behind the Renault automobile company.
-
C.
Louis Renault
Louis Renault was a pioneering French industrialist and automotive engineer who co-founded the Renault car company and helped shape the early automobile industry.
-
D.
Guy Ligier
Guy Ligier was a French racing driver and entrepreneur best known for founding the Ligier Formula One team and sports car manufacturer.
-
E.
Christophe Ballard
Christophe Ballard was a prominent 17th-century French music printer and publisher, known for issuing major operatic and musical works in Paris.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18324bf308190b80bb445c7911198 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcfd39c81909bfddfe95f9ad7d2 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.