Triple
T21397648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebis |
E527827
|
entity |
| Predicate | composedOf |
P402
|
FINISHED |
| Object | Larry Trainor |
—
|
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: Larry Trainor | Statement: [Rebis, composedOf, Larry Trainor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Trainor Context triple: [Rebis, composedOf, Larry Trainor]
-
A.
Larry Trainor
chosen
Larry Trainor is a DC Comics superhero better known as Negative Man, a bandage-wrapped Doom Patrol member bonded with a radioactive energy being.
-
B.
Gary Trainor
Gary Trainor is a musician and vocalist known for contributing performances to the holiday album "A Very Trainor Christmas."
-
C.
Ed Blumquist
Ed Blumquist is a mild-mannered butcher and central character in the second season of the television series "Fargo," whose life spirals into chaos after a deadly accident involving his wife.
-
D.
Kirk Trutner
Kirk Trutner is an American actor best known for his supporting role in the 1997 disaster film "Dante's Peak."
-
E.
Brian Swardstrom
Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16a9c7c819083bd2d298106fdf1 |
completed | April 22, 2026, 11:30 a.m. |
Created at: April 16, 2026, 5:14 p.m.