Triple
T17125506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devon Sawa |
E415582
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Hunter Hunter |
E822182
|
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: Hunter Hunter | Statement: [Devon Sawa, appearedIn, Hunter Hunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunter Hunter Context triple: [Devon Sawa, appearedIn, Hunter Hunter]
-
A.
Hunter Hunter
chosen
Hunter Hunter is a 2020 Canadian survival horror thriller film about a fur trapper’s family in the remote wilderness being stalked by a mysterious predator.
-
B.
Hunter Hunt
Hunter Hunt is a personal name that may refer to multiple individuals, rather than a single widely recognized public figure.
-
C.
"Hunter"
Hunter is a masculine given name and surname of English origin, traditionally associated with the occupation of hunting.
-
D.
the Hunter
The Hunter is the customizable player character and central figure in Bloodborne, tasked with battling nightmarish beasts and uncovering the dark secrets of Yharnam.
-
E.
The Hunter
"The Hunter" is a film shot by acclaimed cinematographer Fred J. Koenekamp, known for his work on major Hollywood productions in the 1970s and 1980s.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f026ae188190b8c1e08529719878 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a12a7288190911c1be2667916c0 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.