Triple
T2862472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark Hunt |
E63355
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hunt |
E16802
|
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: Hunt | Statement: [Clark Hunt, familyName, Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunt Context triple: [Clark Hunt, familyName, Hunt]
-
A.
Hunt
chosen
Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
-
B.
The Hunted
The Hunted is a 2003 action thriller film about a retired special-operations instructor tracking a former student turned rogue assassin in the Pacific Northwest wilderness.
-
C.
The Hunt
The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
-
D.
Chase
Chase is a major U.S. consumer and commercial banking brand of JPMorgan Chase, offering a wide range of financial services including checking, savings, credit cards, and loans.
-
E.
Cheetah Hunt
Cheetah Hunt is a multi-launch steel roller coaster at Busch Gardens Tampa Bay known for its high speeds, long track layout, and cheetah-inspired theme.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb6e6988190b832ee05d8420633 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01da030a88190b9e23a461695176f |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.