Triple
T25475928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBA featherweight world champion |
E638432
|
entity |
| Predicate | relatedTitles |
P46701
|
FINISHED |
| Object | WBC featherweight world champion |
—
|
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: WBC featherweight world champion | Statement: [WBA featherweight world champion, relatedTitles, WBC featherweight world champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedTitles Context triple: [WBA featherweight world champion, relatedTitles, WBC featherweight world champion]
-
A.
associatedTitle
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
-
B.
equivalentOrRelatedTitle
chosen
Indicates that two titles are the same or sufficiently similar in meaning, role, or status to be treated as equivalent or closely related.
-
C.
relatedTitleHolder
Indicates that one entity holds a title or position that is related or connected to the title or position held by another entity.
-
D.
alsoFilmedIn
Indicates that the same film or video production was additionally shot or recorded in another specified location.
-
E.
directorAlsoStarred
Indicates that the person who directed a work also acted or performed as a star in that same work.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: April 21, 2026, 2:26 p.m.