Triple
T9754319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radiator Springs |
E236515
|
entity |
| Predicate | hasResident |
P6481
|
FINISHED |
| Object | Sarge |
E718767
|
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: Sarge | Statement: [Radiator Springs, hasResident, Sarge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarge Context triple: [Radiator Springs, hasResident, Sarge]
-
A.
Sarge
chosen
Sarge is a no-nonsense, military Jeep character from the Cars franchise who runs a surplus store in Radiator Springs.
-
B.
Sergeant Calhoun
Sergeant Calhoun is a tough, battle-hardened space marine and the heroic commander from the in-game world of "Hero's Duty" in Disney's animated film *Wreck-It Ralph*.
-
C.
Commander Schultz
Commander Schultz is a sympathetic and conflicted military officer in Charlie Chaplin’s satirical film "The Great Dictator," who ultimately aids the film’s oppressed protagonists.
-
D.
Sergeant King
Sergeant King is a tough, by-the-book Air Force noncommissioned officer who serves as a comic foil to the naive protagonist in the 1958 military comedy film "No Time for Sergeants."
-
E.
Master Sergeant Farell
Master Sergeant Farell is a tough, battle-hardened military instructor from the film "Edge of Tomorrow," known for training and commanding soldiers in humanity’s war against alien invaders.
- 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_69d1cc4321cc8190a5197d87ebfe38fb |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:24 p.m.