Triple
T23444762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan Ray Ulrich |
E565504
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Chill Factor |
—
|
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: Chill Factor | Statement: [Bryan Ray Ulrich, notableWork, Chill Factor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chill Factor Context triple: [Bryan Ray Ulrich, notableWork, Chill Factor]
-
A.
Chill Factor
chosen
Chill Factor is a 1999 action thriller film about two men racing against time to prevent the detonation of a deadly chemical weapon.
-
B.
The Chill
The Chill is a 1964 hardboiled detective novel by Ross Macdonald featuring private investigator Lew Archer as he unravels a complex web of past crimes and family secrets.
-
C.
Chill
"Chill" is a laid-back, jazzy background music track from the puzzle video game Dr. Mario, known for its relaxed groove that contrasts with the game's fast-paced gameplay.
-
D.
Chilly Chill
Chilly Chill is a hip-hop music producer best known for his work on Ice Cube’s influential debut solo album "AmeriKKKa's Most Wanted."
-
E.
Ice Factor
Ice Factor is a major indoor ice climbing and adventure sports centre located in Kinlochleven, Scotland.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a647d6208190ba891252c8443fd4 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.