Triple
T18522184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Britt Walford |
E452612
|
entity |
| Predicate | usedAlias |
P3799
|
FINISHED |
| Object | Mike Hunt |
—
|
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 Hunt | Statement: [Britt Walford, usedAlias, Mike Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Hunt Context triple: [Britt Walford, usedAlias, Mike Hunt]
-
A.
Mike Hunt
chosen
Mike Hunt is a name best known as a long-running prank or joke name in English-speaking popular culture due to its phonetic resemblance to a vulgar phrase.
-
B.
Mike Joyce
Mike Joyce is an English drummer best known for his work with the influential alternative rock band The Smiths in the 1980s.
-
C.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
D.
Mike Reno
Mike Reno is a Canadian rock singer best known as the lead vocalist of the band Loverboy and for his prominent contributions to 1980s rock and soundtrack hits.
-
E.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338e6e188190a41a4ee12c1ad330 |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.