Triple
T6621996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Chermayeff |
E149695
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Tom Geismar |
E127060
|
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: Tom Geismar | Statement: [Ivan Chermayeff, partner, Tom Geismar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Geismar Context triple: [Ivan Chermayeff, partner, Tom Geismar]
-
A.
Tom Geismar
chosen
Tom Geismar is an American graphic designer renowned for his pioneering work in corporate identity and logo design, including co-founding the influential design firm Chermayeff & Geismar.
-
B.
Mark Breland
Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
-
C.
Josh Sitton
Josh Sitton is a former American football guard best known for his Pro Bowl career with the Green Bay Packers in the NFL.
-
D.
Stephen Broussard
Stephen Broussard is a film producer best known for his work on Marvel Cinematic Universe projects, including multiple Ant-Man films.
-
E.
Reggie Lanning
Reggie Lanning was an American cinematographer known for his work on numerous mid-20th-century films, particularly Westerns and war dramas.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7ccaa481908b383b4fd671fa78 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e448b00081908b336a2bd7fb3820 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.