Triple
T37211637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The People Against O'Hara |
E922316
|
entity |
| Predicate | accusedPortrayedBy |
P44636
|
FINISHED |
| Object | William Campbell |
—
|
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: William Campbell | Statement: [The People Against O'Hara, accusedPortrayedBy, William Campbell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accusedPortrayedBy Context triple: [The People Against O'Hara, accusedPortrayedBy, William Campbell]
-
A.
accusedCharacterPortrayedBy
chosen
Indicates that a particular actor or performer plays the role of the character who is accused within a given work.
-
B.
roleOfAccused
Indicates the specific role, capacity, or status assigned to an entity that is identified as the accused in a legal or accusatory context.
-
C.
portrayedBy
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
-
D.
accusedName
Indicates that a particular person or entity is identified as the one who is accused in an accusation or legal charge.
-
E.
accusedIn
Indicates that a person or entity is formally charged with wrongdoing in a particular case, proceeding, or context.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.