Triple
T1415982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Simon Peter Blunt |
E31917
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Blunt |
E159039
|
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: Blunt | Statement: [Oliver Simon Peter Blunt, familyName, Blunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blunt Context triple: [Oliver Simon Peter Blunt, familyName, Blunt]
-
A.
Blunt
chosen
Blunt is an English surname borne by various notable figures in the arts, politics, and public life.
-
B.
Sharp
Sharp is a common English surname borne by numerous notable individuals across politics, sports, academia, and the arts.
-
C.
Gritty
Gritty is the Philadelphia Flyers’ shaggy, orange, googly-eyed mascot known for his chaotic, meme-worthy personality and instant pop-culture fame.
-
D.
Nasty
"Nasty" is a 1986 hit single by Janet Jackson, known for its assertive lyrics, pioneering new jack swing sound, and iconic "nasty boys" refrain.
-
E.
Vicious
Vicious is a British sitcom starring Derek Jacobi and Ian McKellen as a long-term gay couple navigating their acerbic yet affectionate relationship in London.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c402b1648190b87802d9beb2712e |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace5812abc819091894509e9d6bd77 |
completed | March 8, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:59 p.m.