Triple
T16626581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dana Carvey Show |
E403961
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Steve Hampton |
E1105437
|
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: Steve Hampton | Statement: [The Dana Carvey Show, composer, Steve Hampton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Hampton Context triple: [The Dana Carvey Show, composer, Steve Hampton]
-
A.
Steve Hampton
chosen
Steve Hampton is a composer known for collaborating with Jonas L.A. on musical works.
-
B.
Keith Hammond
Keith Hammond is a pseudonym used by American science fiction and fantasy author Henry Kuttner for some of his published works.
-
C.
Steve Hams
Steve Hams is an American sports executive best known as the founder of the American Basketball League.
-
D.
Steve Harnett
Steve Harnett is a member of the band Helmet, contributing to the influential American alternative metal group known for its heavy, precise sound.
-
E.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e375530ed081908337dc5c6360d733 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dba91bc819090a78ac4c0c01fc8 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.