Triple
T21899371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lap Dance |
E540766
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Jon Taffer |
—
|
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: Jon Taffer | Statement: [Lap Dance, featuresCharacter, Jon Taffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Taffer Context triple: [Lap Dance, featuresCharacter, Jon Taffer]
-
A.
Jon Taffer
chosen
Jon Taffer is an American hospitality expert, entrepreneur, and television personality best known for transforming failing bars and nightclubs on the reality series "Bar Rescue."
-
B.
Jon DeVaan
Jon DeVaan is a longtime Microsoft engineering leader known for his key roles in developing and managing core Windows and Office technologies.
-
C.
Chris Taaffe
Chris Taaffe is a film and television producer known for working on the acclaimed drama "Prayers for Bobby."
-
D.
Tim Fite
Tim Fite is an American musician and multimedia artist known for his genre-blending, sample-heavy albums and satirical, socially conscious songwriting.
-
E.
Brian Bockrath
Brian Bockrath is a television producer best known for his executive production work on the post-apocalyptic horror drama series The Walking Dead: Dead City.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc8c2108190b55ff1ba3badc9fb |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.