Triple
T22917410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zane Frazier |
E568769
|
entity |
| Predicate | isEarlyPioneerOf |
P2809
|
FINISHED |
| Object | mixed martial arts in the United States |
—
|
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: mixed martial arts in the United States | Statement: [Zane Frazier, isEarlyPioneerOf, mixed martial arts in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEarlyPioneerOf Context triple: [Zane Frazier, isEarlyPioneerOf, mixed martial arts in the United States]
-
A.
pioneerOf
chosen
Indicates that an entity was among the first to develop, introduce, or significantly advance another entity, concept, or practice.
-
B.
saidToBeTheFirst
Indicates that one entity is claimed or regarded as being the earliest or original instance of something relative to others.
-
C.
hasNotablePioneer
Indicates that an entity is associated with a person who played a pioneering or trailblazing role in its development, establishment, or early advancement.
-
D.
wasEarlyAdopterOf
Indicates that an entity adopted, used, or supported something significantly earlier than most others.
-
E.
hasPioneerAuthor
Indicates that an entity has, as its pioneering or first significant contributor, a specific author associated with its origin or early development.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807a14648190b5d5f7d926f19320 |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.