Triple
T35809192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team Angle |
E1035181
|
entity |
| Predicate | memberRoleMarkJindrak |
P189728
|
FINISHED |
| Object | associate of Kurt Angle |
—
|
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: associate of Kurt Angle | Statement: [Team Angle, memberRoleMarkJindrak, associate of Kurt Angle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberRoleMarkJindrak Context triple: [Team Angle, memberRoleMarkJindrak, associate of Kurt Angle]
-
A.
JohnnyMarksRole
Indicates that an entity has the role or professional capacity associated with Johnny Marks.
-
B.
roleInJakII
Indicates that an entity has a specific role or function within the context of the game Jak II.
-
C.
roleAtRytířiKladno
Indicates a person's specific role or position held at the Rytíři Kladno organization or team.
-
D.
MCURole
Indicates a role or function that an entity holds as a Master of Ceremonies (MC) within an event or context.
-
E.
memberPlaysRole
chosen
Indicates that a member participates in or fulfills a specific role within a group, organization, or context.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: May 3, 2026, 4:06 p.m.