Triple
T23401547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vic Hoskins |
E559516
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Owen Grady |
—
|
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: Owen Grady | Statement: [Vic Hoskins, associatedWith, Owen Grady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owen Grady Context triple: [Vic Hoskins, associatedWith, Owen Grady]
-
A.
Owen Grady
chosen
Owen Grady is a skilled Velociraptor trainer and former Navy veteran who serves as a central protagonist in the Jurassic World film series.
-
B.
Gavan Duffy
Gavan Duffy is the surname of George Gavan Duffy, an Irish politician, lawyer, and signatory of the Anglo-Irish Treaty who later served as a judge.
-
C.
Owen Conway
Owen Conway is the main protagonist of the science fiction story "Regeneration."
-
D.
Gavan O'Herlihy
Gavan O'Herlihy was an Irish-American actor known for his character roles in film and television, including appearances in genre and action movies of the 1970s and 1980s.
-
E.
Owen Madden
Owen Madden was a notorious Prohibition-era New York City gangster and bootlegger who became a powerful figure in organized crime and the entertainment world.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dfa4c881908df0eced4855c0d9 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.