Triple
T21590286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hit & Miss |
E532759
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Peter Wight |
—
|
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 Wight | Statement: [Hit & Miss, starring, Peter Wight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Wight Context triple: [Hit & Miss, starring, Peter Wight]
-
A.
Peter Wight
chosen
Peter Wight is a British character actor known for his extensive work in film, television, and theatre, often appearing in Mike Leigh’s productions and acclaimed UK dramas.
-
B.
Peter Pilling
Peter Pilling is a collegiate sports administrator best known for serving as the athletic director at Columbia University, overseeing the Columbia Lions athletic programs.
-
C.
Peter Marwood
Peter Marwood is a person identified as the character Marwood, whose full name is indicated in the script as Peter Marwood.
-
D.
Frank Wright
Frank Wright was an American free jazz saxophonist and bandleader known for his intense, avant-garde improvisational style in the 1960s and 1970s.
-
E.
Frank Wright
Frank Wright is a musician best known as a member of the band Sweet Baby, associated with the late-1980s East Bay pop-punk scene.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadd0ec88190929c76137bd1603e |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.