Triple
T12043891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WrestleMania XXVI |
E286733
|
entity |
| Predicate | darkMatch |
P102926
|
FINISHED |
| Object | Yoshi Tatsu won a 26-man battle royal |
—
|
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: Yoshi Tatsu won a 26-man battle royal | Statement: [WrestleMania XXVI, darkMatch, Yoshi Tatsu won a 26-man battle royal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: darkMatch Context triple: [WrestleMania XXVI, darkMatch, Yoshi Tatsu won a 26-man battle royal]
-
A.
dateNight1
Indicates that two entities are spending a romantic or special evening together as a planned outing or activity.
-
B.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
-
C.
typeOfDarkness
Indicates a relationship where one entity is characterized as a specific kind or form of darkness relative to another.
-
D.
dateNight2
Indicates a romantic or intimate outing or planned evening spent together by two people as a couple.
-
E.
dayNightMatches
Indicates that two time-related entities correspond in terms of being in the same phase of the day–night cycle (e.g., both are during daytime or both are during nighttime).
- F. None of above. chosen
Provenance (4 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.