Triple
T13348858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rey Mysterio |
E318021
|
entity |
| Predicate | maskWorn |
P271
|
FINISHED |
| Object | luchador mask |
—
|
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: luchador mask | Statement: [Rey Mysterio, maskWorn, luchador mask]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maskWorn Context triple: [Rey Mysterio, maskWorn, luchador mask]
-
A.
mayMask
Indicates that one entity is permitted or able to conceal, obscure, or hide another entity or its properties.
-
B.
authorizedHeadgear
Indicates that a particular item of headgear is officially permitted or approved for use in a given context or by a specific authority.
-
C.
wearerMust
Indicates that a specified item or object is required to be worn by a particular entity under certain conditions or rules.
-
D.
wears
chosen
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
E.
hasEyeWear
Indicates that one entity is wearing or equipped with some form of eyewear (such as glasses, goggles, or similar eye accessories).
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.