Triple
T13644822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Army Men |
E326074
|
entity |
| Predicate | commandedBy |
P1407
|
FINISHED |
| Object | Sarge |
E1053698
|
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: [Green Army Men, commandedBy, Sarge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarge Context triple: [Green Army Men, commandedBy, Sarge]
-
A.
Sarge
chosen
Sarge is the tough, authoritative leader of the Green Army Men in the Toy Story franchise.
-
B.
Sarge
Sarge is a no-nonsense, military Jeep character from the Cars franchise who runs a surplus store in Radiator Springs.
-
C.
Sarge
Sarge is a hardened military leader and central character in the 2005 science-fiction action film adaptation of the video game Doom, portrayed by Dwayne "The Rock" Johnson.
-
D.
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*.
-
E.
Gunnery Sergeant Hartman
Gunnery Sergeant Hartman is the brutal, foul-mouthed Marine drill instructor in the film "Full Metal Jacket," known for his intense and dehumanizing training methods.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943306f08190b3a4c44e5b22db0a |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:51 p.m.