Triple
T744375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Clarke |
E15309
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jason Clarke |
E15309
|
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: Jason Clarke | Statement: [Jason Clarke, name, Jason Clarke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Clarke Context triple: [Jason Clarke, name, Jason Clarke]
-
A.
Jason Clarke
chosen
Jason Clarke is an Australian actor known for his intense performances in films such as "Zero Dark Thirty," "Dawn of the Planet of the Apes," and "Chappaquiddick."
-
B.
Josh Brolin
Josh Brolin is an American actor known for his versatile performances in films such as "No Country for Old Men," "W." and for portraying Thanos in the Marvel Cinematic Universe.
-
C.
Giovanni Ribisi
Giovanni Ribisi is an American actor known for his character roles in films like "Saving Private Ryan," "Avatar," and the TV series "Friends."
-
D.
Eric Bana
Eric Bana is an Australian actor known for his versatile performances in films such as "Hulk," "Munich," and "Troy."
-
E.
Bruce McGill
Bruce McGill is an American character actor known for his versatile supporting roles in film and television, including notable performances in projects like "Animal House," "MacGyver," and "The Insider."
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a610ba9881908b4e5e7dcc6ed0f5 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e40b9c8190ab4314e63826d00a |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.