Triple
T20908342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inferno (short film) |
E514866
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Mike Hill |
—
|
NE NERFINISHED |
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: Mike Hill | Statement: [Inferno (short film), creator, Mike Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Hill Context triple: [Inferno (short film), creator, Mike Hill]
-
A.
Mike Hill
chosen
Mike Hill is a filmmaker best known for directing the short film "Inferno."
-
B.
Mike Hill
Mike Hill was an American film editor best known for his long-time collaboration with director Ron Howard on acclaimed films such as "A Beautiful Mind."
-
C.
Mike Hill
Mike Hill is a collegiate sports administrator who serves as the athletic director for the University of North Carolina at Charlotte’s Charlotte 49ers athletic program.
-
D.
Tim Hill
Tim Hill is an American politician who served as the King County Executive in Washington State.
-
E.
Tim Hill
Tim Hill is an American film director and screenwriter best known for family-oriented live-action and animated movies such as "Hop," "Alvin and the Chipmunks," and "The SpongeBob SquarePants Movie."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e901ca50819080b123af7977efbd |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:48 p.m.