Triple
T4916107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Saltzman |
E110352
|
entity |
| Predicate | coFounderOf |
P104
|
FINISHED |
| Object | Danjaq |
E447320
|
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: Danjaq | Statement: [Harry Saltzman, coFounderOf, Danjaq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danjaq Context triple: [Harry Saltzman, coFounderOf, Danjaq]
-
A.
Danjaq
chosen
Danjaq is the film production and rights-holding company best known for owning and controlling the James Bond movie franchise.
-
B.
Shenseea
Shenseea is a Jamaican dancehall and reggae fusion artist known for her energetic performances, genre-blending hits, and high-profile collaborations in contemporary Caribbean music.
-
C.
Jodeci
Jodeci is an influential American R&B group known for pioneering the gritty, hip-hop–infused soul sound of the 1990s and inspiring many later artists in the genre.
-
D.
The Dø
The Dø is a French-Finnish indie pop band known for its eclectic sound blending experimental rock, folk, and electronic influences.
-
E.
Eleven Park
Eleven Park is a planned mixed-use soccer stadium development in Indianapolis intended to serve as the future home of the Indy Eleven professional soccer club.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa559608190aa8d02b1547b8f97 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fee5f1c8190ba947811048c3db4 |
completed | March 21, 2026, 10:16 a.m. |
Created at: March 20, 2026, 1:29 p.m.