Triple
T4084118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Glenn |
E87547
|
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: [Scott Glenn, notableWork, Silverado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silverado Context triple: [Scott Glenn, 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.
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.
-
C.
Mustangs
Mustangs is the nickname for the athletic teams representing Central Maine Community College in intercollegiate sports.
-
D.
Mustangs
Mustangs is the nickname for the athletic teams representing Southern Methodist University in collegiate sports.
-
E.
Mustangs
Mustangs are the athletic teams and school spirit symbol representing Milton Academy in its interscholastic sports and community events.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7a4b488190ab466e2c50329ab3 |
completed | March 9, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562c9760c8190a9292eb1cea55ab2 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:39 p.m.