Triple
T22501337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "From the Mars Hotel" |
E556276
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Roy Segal |
—
|
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: Roy Segal | Statement: ["From the Mars Hotel", producer, Roy Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Segal Context triple: ["From the Mars Hotel", producer, Roy Segal]
-
A.
Roy Segal
chosen
Roy Segal is a music producer best known for his work on the Grateful Dead’s 1974 studio album "From the Mars Hotel."
-
B.
Douglas Segal
Douglas Segal is a film producer best known for his work on the action-comedy movie "Bulletproof Monk."
-
C.
Seymour Horowitz
Seymour Horowitz, better known professionally as Cy Howard, was an American producer, director, and writer noted for his work in radio, film, and television comedy.
-
D.
Rob Golenberg
Rob Golenberg is a television producer and executive known for his work on high-profile drama series, including serving as an executive producer on "Your Honor."
-
E.
Philip Segal
Philip Segal is a television producer best known for his work on genre and reality-based series, including serving as an executive producer on the darkly comedic show "1000 Ways to Die."
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb5ddd48190b1d99b936afeda37 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.