Triple
T19455506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Star (1974 film) |
E486722
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Brian Narelle |
—
|
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: Brian Narelle | Statement: [Dark Star (1974 film), castMember, Brian Narelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Narelle Context triple: [Dark Star (1974 film), castMember, Brian Narelle]
-
A.
Brian Narelle
chosen
Brian Narelle is an American actor best known for his role as Lt. Doolittle in John Carpenter’s cult science fiction film "Dark Star" (1974).
-
B.
Michael Nelson
Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
-
C.
Marc Nelson
Marc Nelson is an American R&B singer, songwriter, and producer best known as a founding member of Boyz II Men and for his solo and collaborative work in contemporary R&B.
-
D.
Brad Nessler
Brad Nessler is an American sportscaster best known for his play-by-play commentary on major college football and basketball broadcasts.
-
E.
Paul Cantelon
Paul Cantelon is an American composer and multi-instrumentalist known for his film scores and work blending classical, jazz, and world music influences.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c2b1108190b492ca23487b91f8 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.