Triple
T35804640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attitude Era |
E1035071
|
entity |
| Predicate | featuredTitle |
P206055
|
FINISHED |
| Object | WWF Championship |
E356637
|
NE 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: WWF Championship | Statement: [Attitude Era, featuredTitle, WWF Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredTitle Context triple: [Attitude Era, featuredTitle, WWF Championship]
-
A.
featuresTitleCards
Indicates that one entity includes or presents title cards as part of its content or structure.
-
B.
featuredElement
Indicates that one element is highlighted or given special prominence relative to others in a given context.
-
C.
titleHeading
Indicates that one entity serves as the main title or heading label for another entity, typically summarizing or naming its content.
-
D.
featuredMatchForTitle
Indicates that a particular match is designated as the primary or highlighted match associated with a given title.
-
E.
title
Indicates that one entity serves as the formal name or designation of another entity.
- F. None of above. chosen
Provenance (5 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38916e5b0481908c47addd6f929756 |
completed | June 22, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:06 p.m.