Triple
T35809191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team Angle |
E1035181
|
entity |
| Predicate | memberRoleLutherReigns |
P194495
|
FINISHED |
| Object | bodyguard for 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: bodyguard for Kurt Angle | Statement: [Team Angle, memberRoleLutherReigns, bodyguard for Kurt Angle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberRoleLutherReigns Context triple: [Team Angle, memberRoleLutherReigns, bodyguard for Kurt Angle]
-
A.
LutherAlias
Indicates that one name or label is an alternative designation or alias for Luther.
-
B.
LutherCharacterization
Indicates how Martin Luther is portrayed or characterized in terms of traits, roles, or attributes in a given context.
-
C.
dynasticReligionRole
Indicates a relationship where an entity holds a religious office, function, or status specifically within the context of a ruling dynasty or hereditary line.
-
D.
religiousRoleOfRuler
Indicates that a ruler holds a specific religious office, function, or authority within a religious system or tradition.
-
E.
ecclesiasticalRole
Indicates that one entity holds or is assigned a specific religious or church-related office, function, or position in relation 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69fd76d0d7608190b350336d6c18182d |
completed | May 8, 2026, 5:38 a.m. |
Created at: May 3, 2026, 4:06 p.m.