Triple
T10249841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kar |
E240310
|
entity |
| Predicate | directorOfWork |
P255
|
FINISHED |
| Object | Paul Hunter |
E120440
|
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: Paul Hunter | Statement: [Kar, directorOfWork, Paul Hunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Hunter Context triple: [Kar, directorOfWork, Paul Hunter]
-
A.
Paul Hunter
chosen
Paul Hunter is an acclaimed American music video director known for his visually innovative work with major artists across hip-hop, R&B, and pop.
-
B.
Paul Hunter
Paul Hunter is a film editor known for his work on animated feature films such as "The Nut Job."
-
C.
John Higgins
John Higgins is a British comic book artist and colorist best known for his influential work on landmark graphic novels such as Watchmen.
-
D.
Paul Groth
Paul Groth is a computer scientist known for his work in knowledge representation, semantic web technologies, and data provenance.
-
E.
Peter Hewitt
Peter Hewitt is a British film director known for helming family-oriented and fantasy comedies such as "Bill & Ted's Bogus Journey" and "Garfield: The Movie."
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23c4cd88190b99e65a074b68d6b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7b66c6881908b432fbdd5ecf11e |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:28 a.m.