Triple
T23074753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alias the Champ |
E575297
|
entity |
| Predicate | hasPerformerOccupationDepicted |
P146982
|
FINISHED |
| Object | professional wrestler |
—
|
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: professional wrestler | Statement: [Alias the Champ, hasPerformerOccupationDepicted, professional wrestler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformerOccupationDepicted Context triple: [Alias the Champ, hasPerformerOccupationDepicted, professional wrestler]
-
A.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
B.
starredPerformerOccupation
chosen
Indicates the occupation or professional role of a performer who starred in a work or production.
-
C.
performingArtRole
Indicates a role or function that an entity fulfills within the context of a performing arts activity or production.
-
D.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
E.
portrayedByProfession
Indicates that an entity is depicted or represented by someone acting in a specified professional capacity.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c62c200819099c92654493288ad |
completed | April 29, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:56 p.m.