Triple
T35636500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heath Slater and Rhyno |
E1029734
|
entity |
| Predicate | memberRole_Rhyno |
P139764
|
FINISHED |
| Object | powerhouse veteran |
—
|
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: powerhouse veteran | Statement: [Heath Slater and Rhyno, memberRole_Rhyno, powerhouse veteran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberRole_Rhyno Context triple: [Heath Slater and Rhyno, memberRole_Rhyno, powerhouse veteran]
-
A.
memberRole_5
chosen
Indicates that an entity holds a specific role or position within a particular group, organization, or membership context.
-
B.
MCURole
Indicates a role or function that an entity holds as a Master of Ceremonies (MC) within an event or context.
-
C.
RexRole
Indicates a role or function that an entity holds within a specific context, system, or structure.
-
D.
memberRole_3
Indicates that an entity holds a specific role or position as a member within a group, organization, or context.
-
E.
ownerRole
Indicates the role or capacity in which an entity serves as the owner of 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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 3, 2026, 4:05 p.m.