Triple
T8607508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Miracle Rider |
E203837
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Lee Zahler |
E752802
|
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: Lee Zahler | Statement: [The Miracle Rider, musicBy, Lee Zahler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Zahler Context triple: [The Miracle Rider, musicBy, Lee Zahler]
-
A.
Lee Zahler
chosen
Lee Zahler was an American film composer and musical director known for scoring numerous serials and B-movies during the 1930s and 1940s.
-
B.
Brian Van Holt
Brian Van Holt is an American actor known for his roles in films like "Black Hawk Down" and "Den of Thieves" as well as the TV series "Cougar Town."
-
C.
Michael Seitzman
Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
-
D.
John Seitz
John Seitz was an American cinematographer renowned for his influential work in classic Hollywood cinema, particularly in film noir and science fiction.
-
E.
Michael-Leon Wooley
Michael-Leon Wooley is an American actor and voice actor best known for his rich baritone performances in film, television, and theater, including prominent roles in animated features and Broadway productions.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ec301881908ce148a3f07069fe |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf425b8a2c81909b1f8ce5da6d36fd |
completed | April 3, 2026, 4:30 a.m. |
Created at: March 30, 2026, 6:25 p.m.