Triple
T21842796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pau |
E539295
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Pau |
—
|
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: Peter Pau | Statement: [Peter Pau, name, Peter Pau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Pau Context triple: [Peter Pau, name, Peter Pau]
-
A.
Peter Pau
chosen
Peter Pau is an acclaimed Hong Kong cinematographer best known internationally for his Oscar-winning work on the film "Crouching Tiger, Hidden Dragon."
-
B.
Peter Pock
Peter Pock is best known as the former husband of actress Nancy Kwan.
-
C.
Peter Rive
Peter Rive is a technology entrepreneur best known as a co-founder and former executive of the solar energy services company SolarCity.
-
D.
Peter Funt
Peter Funt is an American television personality and producer best known for hosting and continuing his father Allen Funt’s hidden-camera show "Candid Camera."
-
E.
Peter Nashel
Peter Nashel is an American composer known for his film and television scores, including his work on the darkly comedic biopic "I, Tonya."
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.