Triple
T35493493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrestling Observer Newsletter Hall of Fame inductee |
E1025789
|
entity |
| Predicate | mayBelongToCategory |
P35715
|
FINISHED |
| Object | wrestler |
—
|
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: wrestler | Statement: [Wrestling Observer Newsletter Hall of Fame inductee, mayBelongToCategory, wrestler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBelongToCategory Context triple: [Wrestling Observer Newsletter Hall of Fame inductee, mayBelongToCategory, wrestler]
-
A.
canBelongTo
chosen
Indicates that something is capable of being a member or part of a particular group, category, or owner.
-
B.
believedToBelongTo
Indicates that something is thought or assumed, but not definitively known, to be owned by or part of a particular entity.
-
C.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
D.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
E.
apparentCategory
Indicates the category or type that something seems to belong to based on its observable characteristics, regardless of its true or underlying classification.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:04 p.m.