Triple
T36152264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad Pitt as Jerry Welbach |
E1045620
|
entity |
| Predicate | propNickname |
P184764
|
FINISHED |
| Object | The Mexican |
—
|
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: The Mexican | Statement: [Brad Pitt as Jerry Welbach, propNickname, The Mexican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propNickname Context triple: [Brad Pitt as Jerry Welbach, propNickname, The Mexican]
-
A.
stageNickname
Indicates that one entity is the stage name or performance nickname used by another entity.
-
B.
notableNickname
Indicates that one entity is a well-known or widely recognized nickname or moniker for another entity.
-
C.
hasNicknames
Indicates that an entity is known or referred to by one or more alternative informal names.
-
D.
dedicatedToOrNicknameOf
Indicates that one entity is either the dedicatee of something (e.g., a work, object, or honor) or serves as an alternative name or nickname for another entity.
-
E.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
- 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_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b3e0f1c88190985feab6cee8b05e |
completed | May 3, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.