Triple
T2576768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smokey |
E56993
|
entity |
| Predicate | hasSuccessiveIndividuals |
P38716
|
FINISHED |
| Object | Smokey II |
E56993
|
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: Smokey II | Statement: [Smokey, hasSuccessiveIndividuals, Smokey II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smokey II Context triple: [Smokey, hasSuccessiveIndividuals, Smokey II]
-
A.
Smokey
chosen
Smokey is the bluetick coonhound dog who serves as the live mascot for the University of Tennessee Volunteers athletic teams.
-
B.
Smokey
Smokey was the longtime nickname of Walter Alston, the Hall of Fame manager who led the Brooklyn and Los Angeles Dodgers to multiple World Series titles.
-
C.
Blaze
Blaze is the anthropomorphic orange cat mascot of the Portland Trail Blazers NBA team.
-
D.
Blaze
Blaze is a hostile, floating, fire-based mob in Minecraft’s Nether dimension that attacks players by shooting fireballs.
-
E.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd83299708190993b79daaffcc9a1 |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98adae948190a08ffa1eef4cb91a |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:49 p.m.