Triple
T17908697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilgax |
E447766
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Man of Action |
—
|
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: Man of Action | Statement: [Vilgax, creator, Man of Action]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Man of Action Context triple: [Vilgax, creator, Man of Action]
-
A.
Man of Action
chosen
Man of Action is an American writers' collective and production company best known for creating the animated franchise "Ben 10" and other superhero-themed series.
-
B.
An Action Hero
An Action Hero is a 2022 Indian Hindi-language action thriller film that blends dark humor with a meta-take on celebrity culture and media sensationalism.
-
C.
Mr. Action
Mr. Action is a superhero alias used by Jimmy Olsen in DC Comics when he temporarily gains superpowers and fights crime.
-
D.
Demolition Man
Demolition Man is a 1993 sci-fi action film set in a dystopian future where a cryogenically frozen cop and criminal are revived to resume their battle in a highly controlled, sanitized society.
-
E.
Aksi
Aksi is a small Estonian island in the Gulf of Finland, known for its natural landscapes and sparse habitation.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.