Triple
T13635160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Hartley |
E325829
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Oliver Queen |
E600905
|
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: Oliver Queen | Statement: [Justin Hartley, playedCharacter, Oliver Queen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Queen Context triple: [Justin Hartley, playedCharacter, Oliver Queen]
-
A.
Oliver Queen
chosen
Oliver Queen is a billionaire playboy-turned-vigilante archer who fights crime as the Green Arrow in DC Comics and its television adaptations.
-
B.
Oliver Queenan
Oliver Queenan is a senior Massachusetts State Police officer in the film "The Departed," known for overseeing undercover operations against organized crime.
-
C.
Arthur Curry
Arthur Curry is the human-Atlantean superhero better known as Aquaman, king of Atlantis and a founding member of the Justice League in DC Comics.
-
D.
Green Arrow
Green Arrow is a DC Comics superhero and master archer who fights crime using trick arrows, a strong moral code, and a Robin Hood-inspired persona.
-
E.
Red Thomas
Red Thomas is a fictional mayor of the town of Hill Valley in the "Back to the Future" film series.
- 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_69dbc5a616dc81908b8c1213e1d4beed |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78aef6fd08190b209a94b9ddd024c |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.