Triple
T8430634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eon Productions |
E199105
|
entity |
| Predicate | parentCompany |
P254
|
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: [Eon Productions, parentCompany, Danjaq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danjaq Context triple: [Eon Productions, parentCompany, 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.
Morat
Morat is a small, lesser-known Caribbean island that forms part of Honduras’s Bay Islands archipelago.
-
E.
The Dø
The Dø is a French-Finnish indie pop band known for its eclectic sound blending experimental rock, folk, and electronic influences.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a2efa08190b92c75812003ffdb |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d5a671c8190aebbe94e8838cddb |
completed | April 2, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:07 p.m.