Triple
T21319917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim McIntire |
E525583
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Brubaker |
—
|
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: Brubaker | Statement: [Tim McIntire, notableWork, Brubaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brubaker Context triple: [Tim McIntire, notableWork, Brubaker]
-
A.
Brubaker
chosen
Brubaker is a 1980 American prison drama film starring Robert Redford that exposes corruption and abuse within a state penitentiary system.
-
B.
Brickner
Brickner is a surname of likely German or Ashkenazi Jewish origin borne by various individuals, including those in the family of film director Gordon Douglas.
-
C.
Hecker
Hecker is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
D.
Bader
Bader is a surname of German origin borne by various notable individuals across fields such as science, business, and the arts.
-
E.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ecfb7d481909cb73f95c3ddd9ed |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:39 p.m.