Triple
T17369843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Hunt |
E422280
|
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: [Nicholas Hunt, familyName, Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunt Context triple: [Nicholas 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.
Hunt
Hunt is a South Korean espionage action thriller film directed by and starring Lee Jung-jae, centered on two rival intelligence agents uncovering a massive political conspiracy.
-
C.
Hunt
Hunt is a small unincorporated community in the Texas Hill Country known for its scenic location at the confluence of the North and South Forks of the Guadalupe River and its popular summer camps.
-
D.
On the Hunt
On the Hunt is a Hunter-class spell card in Hearthstone that deals damage to a minion while summoning a 1/1 Mastiff companion.
-
E.
Hunted
Hunted is a British espionage television drama series starring Melissa George as a highly skilled operative working for a private intelligence agency.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6842388190940235198fa50041 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.