Triple
T14712004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John from Cincinnati |
E345567
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Kem Nunn |
E1120243
|
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: Kem Nunn | Statement: [John from Cincinnati, executiveProducer, Kem Nunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kem Nunn Context triple: [John from Cincinnati, executiveProducer, Kem Nunn]
-
A.
Kem Nunn
chosen
Kem Nunn is an American novelist and screenwriter known for his dark, surf-noir fiction and work on television series such as "John from Cincinnati."
-
B.
Cal Henderson
Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
-
C.
Don Munday
Don Munday was a Canadian mountaineer and explorer renowned for his pioneering climbs and exploration of the Coast Mountains of British Columbia.
-
D.
Bill Nunn
Bill Nunn was a pioneering NFL scout and journalist renowned for helping transform the Pittsburgh Steelers into a dynasty by recruiting standout talent from historically Black colleges and universities.
-
E.
Bill Nunn
Bill Nunn was an American character actor best known for his memorable supporting roles in films like "Do the Right Thing" and the "Spider-Man" trilogy.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388792688190b1b6eaa8091733fb |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:28 a.m.