Triple
T22485740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Wrangler |
E555871
|
entity |
| Predicate | mainPerformer |
P1363
|
FINISHED |
| Object | T. Lavitz |
—
|
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: T. Lavitz | Statement: [Space Wrangler, mainPerformer, T. Lavitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T. Lavitz Context triple: [Space Wrangler, mainPerformer, T. Lavitz]
-
A.
T Lavitz
chosen
T Lavitz was an American jazz fusion and rock keyboardist best known for his work with the Dixie Dregs and numerous other progressive and jam bands.
-
B.
Terry Lavitz
Terry Lavitz was an American jazz and rock keyboardist best known for his work with the Dixie Dregs and as a versatile session and touring musician.
-
C.
Steven Lutvak
Steven Lutvak is an American composer and lyricist best known for co-writing the Tony Award-winning Broadway musical "A Gentleman's Guide to Love and Murder."
-
D.
Ron Talsky
Ron Talsky was an American costume designer known for his work on numerous film and television productions, particularly in the 1960s and 1970s.
-
E.
Robert Levitt
Robert Levitt was an American newspaper entertainment columnist best known for his marriage to Broadway star Ethel Merman.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3c6d808190b6dc70c3d1985bf3 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.