Triple
T35208181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dis-arm-her |
E1016596
|
entity |
| Predicate | kayfabePurpose |
P182605
|
FINISHED |
| Object | incapacitate opponent’s arm |
—
|
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: incapacitate opponent’s arm | Statement: [Dis-arm-her, kayfabePurpose, incapacitate opponent’s arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kayfabePurpose Context triple: [Dis-arm-her, kayfabePurpose, incapacitate opponent’s arm]
-
A.
kayfabe
Indicates the relationship or action of presenting events, rivalries, or personas as real and unscripted, despite being staged or predetermined.
-
B.
kayfabeEnforcedBy
Indicates that the illusion or scripted nature of an event, performance, or storyline is actively maintained or upheld by a particular party.
-
C.
kayfabeStatus
Indicates the status of whether an event, action, or portrayal is being presented as part of the scripted, in-universe narrative (kayfabe) or acknowledged as non-scripted reality.
-
D.
hasKayfabeEffect
Indicates that one entity has an effect on another within the context of a scripted or staged reality, as in professional wrestling storylines.
-
E.
wrestlesUnderMask
Indicates that one entity participates in wrestling while concealing their identity with a mask.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.