Triple
T11574654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Littleton |
E274471
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Silverado |
E117395
|
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: Silverado | Statement: [Carol Littleton, notableWork, Silverado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silverado Context triple: [Carol Littleton, notableWork, Silverado]
-
A.
Silverado
chosen
Silverado is a 1985 ensemble Western film directed and co-written by Lawrence Kasdan, known for revitalizing the classic Hollywood Western with a modern, adventurous tone.
-
B.
Power Wagon
The Power Wagon is a heavy-duty off-road–focused pickup truck variant known for its rugged capability, factory lift, locking differentials, and integrated winch.
-
C.
The Mack
The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
-
D.
Trucker
Trucker is a 2008 independent drama film starring Michelle Monaghan as a fiercely independent long-haul truck driver whose life is upended when she must care for her estranged young son.
-
E.
Yukon Striker
Yukon Striker is a record-breaking dive roller coaster at Canada's Wonderland known for its 90-degree drop, underwater tunnel, and high speeds.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89048120c81908258f984711f7dd4 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a776ea40819084912ad2459c5be9 |
completed | April 22, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:38 p.m.