Triple
T37128038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Willis as RJ |
E919439
|
entity |
| Predicate | voicePerformanceReception |
P95611
|
FINISHED |
| Object | generally positive |
—
|
LITERAL FINISHED |
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: generally positive | Statement: [Bruce Willis as RJ, voicePerformanceReception, generally positive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voicePerformanceReception Context triple: [Bruce Willis as RJ, voicePerformanceReception, generally positive]
-
A.
vocalPerformanceReception
chosen
Indicates how a vocal performance is received, evaluated, or responded to by an audience, critics, or listeners.
-
B.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
C.
voiceOutcome
Indicates the result or consequence produced by a particular voice action, command, or vocal interaction.
-
D.
voiceWork
Indicates that one entity performs or contributes voice acting or vocal performance work for another entity or creative production.
-
E.
receivesAuditoryFeedbackInformation
Indicates that an entity obtains information through auditory feedback, such as sounds or spoken responses, resulting from its actions or environment.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:15 p.m.