Triple
T34875485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Finch |
E1005869
|
entity |
| Predicate | awardForRole |
P107
|
FINISHED |
| Object | Howard Beale / the mad prophet of the airwaves |
—
|
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: Howard Beale / the mad prophet of the airwaves | Statement: [Peter Finch, awardForRole, Howard Beale / the mad prophet of the airwaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardForRole Context triple: [Peter Finch, awardForRole, Howard Beale / the mad prophet of the airwaves]
-
A.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
C.
awardWith
Indicates that one entity grants or presents an award, prize, or honor to another entity.
-
D.
awardAuthority
Indicates that one entity grants another entity the power or right to give or confer awards.
-
E.
awardCharacter
Indicates that an award or honor is given to a particular character.
- F. None of above.
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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 3, 2026, 4 p.m.