Triple
T14213708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Future Man |
E352293
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Kyle Hunter |
E1086057
|
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: Kyle Hunter | Statement: [Future Man, executiveProducer, Kyle Hunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Hunter Context triple: [Future Man, executiveProducer, Kyle Hunter]
-
A.
Kyle Hunter
chosen
Kyle Hunter is a television writer and producer best known for co-creating the sci-fi comedy series "Future Man."
-
B.
John Cutter
John Cutter is the tough, resourceful airline security expert portrayed by Wesley Snipes in the 1992 action thriller film "Passenger 57."
-
C.
Krieger Newman
Krieger Newman is a relative of American professional stock car racing driver Ryan Newman.
-
D.
Peter Keightley
Peter Keightley is an evolutionary geneticist known for his work on the genetic basis of quantitative traits and the effects of deleterious mutations on genome evolution.
-
E.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd280e56e0819097e2aa2b28f19257 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:06 a.m.