Triple
T9754008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mater |
E236509
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Tow Mater |
E236509
|
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: Tow Mater | Statement: [Mater, alsoKnownAs, Tow Mater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tow Mater Context triple: [Mater, alsoKnownAs, Tow Mater]
-
A.
Lightning McQueen
Lightning McQueen is a hotshot red race car and the ambitious, charismatic protagonist of Pixar's animated Cars film series.
-
B.
Mater
chosen
Mater is the lovable, rusty tow truck from Pixar's Cars franchise, known for his goofy personality, loyalty to Lightning McQueen, and comic relief.
-
C.
Toofer
Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
-
D.
Tugg Speedman
Tugg Speedman is a fictional, fading action-movie star portrayed by Ben Stiller in the satirical war comedy film "Tropic Thunder."
-
E.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
- 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.