Triple
T36152265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Pitt as Jerry Welbach |
E1045620
|
entity |
| Predicate | characterInvolvedIn |
P200812
|
FINISHED |
| Object | romantic relationship turmoil |
—
|
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: romantic relationship turmoil | Statement: [Brad Pitt as Jerry Welbach, characterInvolvedIn, romantic relationship turmoil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInvolvedIn Context triple: [Brad Pitt as Jerry Welbach, characterInvolvedIn, romantic relationship turmoil]
-
A.
involvedActor
Indicates that an entity participates as an actor or participant in the referenced event, activity, or situation.
-
B.
crewInvolvedIn
Indicates that a crew (as a group or unit) participates in, contributes to, or is otherwise involved in a specified event, activity, or operation.
-
C.
implicatedPerson
Indicates that a person is alleged or shown to be involved in, responsible for, or connected to a particular event, action, or wrongdoing.
-
D.
peopleAssociatedWith
Indicates that there exists some form of connection, involvement, or relationship between the referenced people.
-
E.
partOfCastOfFictionalWork
Indicates that an entity is a member of the cast (e.g., actor or character) involved in a particular fictional work.
- F. None of above. chosen
Provenance (4 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffada24d188190a576a02dc280a7fb |
completed | May 9, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69ffad46d6ac819081772f408b1389d5 |
completed | May 9, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69ffada149748190916bfd9b87356342 |
completed | May 9, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.