Triple
T22910828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Colt |
E568584
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Colt |
—
|
NE NERFINISHED |
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: Colt | Statement: [Harry Colt, familyName, Colt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colt Context triple: [Harry Colt, familyName, Colt]
-
A.
Colt
Colt is one of the three young martial artist brothers in the "Three Ninjas" film series, known for his fiery temper and strong fighting skills.
-
B.
Colt
Colt is a historic American firearms brand best known for its revolvers and pistols, including the iconic Colt Single Action Army and the M1911.
-
C.
Colt
chosen
Colt is a surname of English origin borne by various individuals, including fictional characters such as Jane Colt.
-
D.
Colt 45
Colt 45 is a French crime thriller film centered on a talented young police armorer drawn into a violent underworld of corruption and gun trafficking.
-
E.
Colt Government Model
The Colt Government Model is a classic full-size semi-automatic pistol, best known as the commercial version of the iconic Colt M1911 design widely used by military, law enforcement, and civilian shooters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807493a881909e7ee6e8c4c5d4ad |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.