Triple
T20702190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Avalanche |
E508810
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Tim Orr |
—
|
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: Tim Orr | Statement: [Prince Avalanche, cinematographyBy, Tim Orr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Orr Context triple: [Prince Avalanche, cinematographyBy, Tim Orr]
-
A.
Tim Orr
chosen
Tim Orr is an American cinematographer known for his frequent collaborations with director David Gordon Green on independent and studio films.
-
B.
Mark Orr
Mark Orr is a collegiate sports administrator who serves as the athletic director for the Sacramento State Hornets.
-
C.
Eric Orr
Eric Orr was an American artist known for his minimalist, perceptual installations that explored light, space, and sensory experience.
-
D.
Eric Orsborn
Eric Orsborn is an American local government leader serving as the mayor of Buckeye, Arizona.
-
E.
Stuart Orme
Stuart Orme is a British film and television director known for his work on music videos and genre productions.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18cb9cc819095d0669dca037424 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.