Triple
T3536347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Spacey as Dave Harken |
E74781
|
entity |
| Predicate | antagonisticTo |
P18963
|
FINISHED |
| Object | Kurt Buckman |
E110915
|
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: Kurt Buckman | Statement: [Kevin Spacey as Dave Harken, antagonisticTo, Kurt Buckman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurt Buckman Context triple: [Kevin Spacey as Dave Harken, antagonisticTo, Kurt Buckman]
-
A.
Kurt Buckman
chosen
Kurt Buckman is one of the three beleaguered friends in the dark comedy film "Horrible Bosses," known for plotting to kill his abusive employer alongside his equally frustrated coworkers.
-
B.
Dustin Buckner
Dustin Buckner is an individual notable enough to be specifically recognized as a bearer of the Buckner surname.
-
C.
Bryan Woodman
Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
-
D.
Dick Hantak
Dick Hantak is a former National Football League official best known for serving as the referee in Super Bowl XXVII.
-
E.
Emmett Kurzfeld
Emmett Kurzfeld is a supporting intelligence operative in the spy thriller film "Atomic Blonde," aiding the protagonist amid Cold War espionage in Berlin.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc7b92481908d2d99948780f4d0 |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44eeb831481909f9def02fe995c69 |
completed | March 13, 2026, 5:52 p.m. |
Created at: March 8, 2026, 3:20 p.m.