Triple
T24202783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheamus |
E600023
|
entity |
| Predicate | brandWorkedFor |
P17879
|
FINISHED |
| Object | WWE Raw |
—
|
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: WWE Raw | Statement: [Sheamus, brandWorkedFor, WWE Raw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandWorkedFor Context triple: [Sheamus, brandWorkedFor, WWE Raw]
-
A.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
-
B.
workedAs
Indicates that an entity held a particular job, role, or position, performing work in that capacity.
-
C.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
D.
workAt
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
-
E.
hasWorkedIn
chosen
Indicates that a person has been employed or has performed work within a particular organization, location, or domain for some period of time.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca2d6708190ba20d00870d0af49 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:36 p.m.