Triple
T32543777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Rockwell as Bob Fosse |
E831784
|
entity |
| Predicate | portraysAwards |
P196633
|
FINISHED |
| Object | Tony Awards |
—
|
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: Tony Awards | Statement: [Sam Rockwell as Bob Fosse, portraysAwards, Tony Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysAwards Context triple: [Sam Rockwell as Bob Fosse, portraysAwards, Tony Awards]
-
A.
awardRecognitionForPortrayal
Indicates that recognition or an award is given to someone specifically for their performance or depiction of a particular role or subject.
-
B.
portrayedByWonAward
chosen
Indicates that the person who portrayed a character or role received an award for that performance.
-
C.
portraysNotableAct
Indicates that an entity depicts or represents a significant or noteworthy action performed by another entity.
-
D.
portraysActivity
Indicates that one entity visually or narratively represents another entity engaged in a particular activity.
-
E.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: May 1, 2026, 1:02 a.m.