Triple
T35600345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazuchika Okada |
E1028747
|
entity |
| Predicate | hasHeldTitle |
P176958
|
FINISHED |
| Object | IWGP Heavyweight Championship |
—
|
NE NERFINISHED |
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: IWGP Heavyweight Championship | Statement: [Kazuchika Okada, hasHeldTitle, IWGP Heavyweight Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeldTitle Context triple: [Kazuchika Okada, hasHeldTitle, IWGP Heavyweight Championship]
-
A.
titleHeldTo
Indicates that one entity holds or possesses a specific title in relation to another entity or context.
-
B.
titleHeldAs
Indicates that an entity holds or possesses a specific title in a particular capacity or role.
-
C.
heldTitleWithin
chosen
Indicates that an entity held a specific title, position, or rank within a particular organization, jurisdiction, or domain.
-
D.
titleHeldThrough
Indicates that an entity holds or possesses a title by means of, or via the intermediary of, another entity or mechanism.
-
E.
heldTitleFrom
Indicates that an entity possessed or held a particular title starting from a specified point in time.
- 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_69f76e0598dc8190a6a093e904b9aa70 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: May 3, 2026, 4:05 p.m.