Triple
T19756171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Pezman |
E474505
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chris Pezman |
—
|
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: Chris Pezman | Statement: [Chris Pezman, name, Chris Pezman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Pezman Context triple: [Chris Pezman, name, Chris Pezman]
-
A.
Chris Pezman
chosen
Chris Pezman is a collegiate sports administrator best known for serving as the athletic director of the University of Houston Cougars.
-
B.
Robert Carlock
Robert Carlock is an American television writer and producer best known for his long-running creative partnership with Tina Fey on acclaimed comedy series such as "30 Rock" and "Unbreakable Kimmy Schmidt."
-
C.
Mike DeVries
Mike DeVries is a golf course architect known for designing acclaimed layouts such as Cape Wickham Links in Tasmania.
-
D.
Andy Mrotek
Andy Mrotek is an American drummer and musician best known for his work with the Chicago-based pop punk band The Academy Is....
-
E.
Stan Beeman
Stan Beeman is a troubled but dedicated FBI counterintelligence agent and neighbor to the Jennings family in the television series "The Americans."
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531afcbc8190bd5364700008f6d8 |
completed | April 20, 2026, 4:23 p.m. |
Created at: April 10, 2026, 1:48 p.m.