Triple
T14956848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Pitt as Metro Man |
E372952
|
entity |
| Predicate | characterDecision |
P2165
|
FINISHED |
| Object | fakes his own death in the film’s plot |
—
|
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: fakes his own death in the film’s plot | Statement: [Brad Pitt as Metro Man, characterDecision, fakes his own death in the film’s plot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterDecision Context triple: [Brad Pitt as Metro Man, characterDecision, fakes his own death in the film’s plot]
-
A.
decisionMakingRole
Indicates that an entity holds responsibility or authority in making decisions for or on behalf of another entity or group.
-
B.
decisionType
chosen
Indicates the specific category or nature of a decision associated with an entity or event.
-
C.
characterSelection
Indicates the relationship where a user or system chooses one or more characters from a set of available options.
-
D.
decisionEffect
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
-
E.
decisionMakingTool
Indicates that an entity functions as a tool or system used to support, structure, or carry out decision-making processes for another entity.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:40 a.m.