Triple
T35808431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boss 'n' Hug Connection |
E1035162
|
entity |
| Predicate | lostTitlesAtEvent |
P184139
|
FINISHED |
| Object | WrestleMania 35 |
—
|
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: WrestleMania 35 | Statement: [The Boss 'n' Hug Connection, lostTitlesAtEvent, WrestleMania 35]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostTitlesAtEvent Context triple: [The Boss 'n' Hug Connection, lostTitlesAtEvent, WrestleMania 35]
-
A.
titleHeldByDuringEvent
Indicates that a specific title or position was held by a particular entity for the duration of a given event or time-bounded occurrence.
-
B.
rankingEventTitles
Indicates that certain events are ordered or prioritized by their titles, typically for display or comparison purposes.
-
C.
majorTitleWon
Indicates that an entity has won a significant or top-level title, championship, or major award in a given domain.
-
D.
dateTitleWon
Indicates the specific date on which a particular title, award, or championship was won.
-
E.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.