Triple
T13622543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seymour Cassel |
E325492
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Chill Factor |
E565506
|
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: Chill Factor | Statement: [Seymour Cassel, notableWork, Chill Factor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chill Factor Context triple: [Seymour Cassel, 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.
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.
-
C.
Ice Factor
Ice Factor is a major indoor ice climbing and adventure sports centre located in Kinlochleven, Scotland.
-
D.
Chilly
Chilly is a stuffed snowman character from the children's animated series "Doc McStuffins," known for being a lovable but often overly worried patient in Doc's toy clinic.
-
E.
Ice Cold
Ice Cold is a suspenseful crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles stranded with a deadly secret in a remote, abandoned Wyoming community.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe99ddc08190a8d79107c8e176fa |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa291f48190a0ee7a228ea303bc |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.