Triple
T2124663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cars |
E46398
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Lightning McQueen |
E236507
|
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: Lightning McQueen | Statement: [Cars, follows, Lightning McQueen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lightning McQueen Context triple: [Cars, follows, Lightning McQueen]
-
A.
Lightning McQueen
chosen
Lightning McQueen is a hotshot red race car and the ambitious, charismatic protagonist of Pixar's animated Cars film series.
-
B.
Doc Hudson
Doc Hudson is a wise, retired race car and town doctor in Pixar's "Cars" who mentors the protagonist Lightning McQueen.
-
C.
Woody
Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
-
D.
Woody
Woody is the nickname of Woody Guthrie, the influential American folk singer-songwriter known for his protest music and the anthem "This Land Is Your Land."
-
E.
Herbie
Herbie is a common diminutive form of the given name Herbert, often used as an affectionate nickname.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb55cb2c8190aab8199da3335032 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58cf2a588190a59dc1ae5d684538 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.