Triple
T16146801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Peterman |
E391804
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Don Peterman |
E391804
|
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: Don Peterman | Statement: [Don Peterman, name, Don Peterman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Peterman Context triple: [Don Peterman, name, Don Peterman]
-
A.
Don Peterman
chosen
Don Peterman was an American cinematographer known for his work on major Hollywood films across several decades, including comedies, dramas, and visual-effects-heavy productions.
-
B.
Lou Duva
Lou Duva was a renowned American boxing trainer and manager known for guiding multiple world champions and being inducted into the International Boxing Hall of Fame.
-
C.
Henry Hager
Henry Hager is an American businessman and former White House aide who is married to Jenna Bush Hager, the daughter of former U.S. President George W. Bush.
-
D.
Don George
Don George was an American lyricist best known for writing popular songs and collaborating with prominent composers in the mid-20th century.
-
E.
William Nack
William Nack was an American sportswriter and author best known for his definitive biography of the racehorse Secretariat.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d947e68819081b4b7c757ce71b6 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a7dc3481909f933acd72d6feff |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.