Triple
T9753938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightning McQueen |
E236507
|
entity |
| Predicate | mentor |
P3665
|
FINISHED |
| Object | Smokey |
E788935
|
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 | Statement: [Lightning McQueen, mentor, Smokey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smokey Context triple: [Lightning McQueen, mentor, Smokey]
-
A.
Smokey
Smokey is the bluetick coonhound dog who serves as the live mascot for the University of Tennessee Volunteers athletic teams.
-
B.
Smokey
Smokey is the widely known nickname of legendary American singer, songwriter, and record producer Smokey Robinson.
-
C.
Smokey
chosen
Smokey is an experienced, older race car and former crew chief who mentors Lightning McQueen in the animated film "Cars 3."
-
D.
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.
-
E.
Smokey
Smokey is the wisecracking, weed-smoking best friend in the 1995 comedy film "Friday," portrayed by Chris Tucker.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b0288b808190821287a2cc54025d |
completed | April 5, 2026, 12:43 a.m. |
Created at: March 30, 2026, 8:24 p.m.