Triple
T35808423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boss 'n' Hug Connection |
E1035162
|
entity |
| Predicate | competedForBrand |
P154357
|
FINISHED |
| Object | Raw tag team division |
—
|
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: Raw tag team division | Statement: [The Boss 'n' Hug Connection, competedForBrand, Raw tag team division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competedForBrand Context triple: [The Boss 'n' Hug Connection, competedForBrand, Raw tag team division]
-
A.
competedInBrand
chosen
Indicates that an entity took part in a competition, event, or contest that was organized, sponsored, or associated with a particular brand.
-
B.
brandCompetedOn
Indicates that two brands have competed against each other in the same market, category, or competitive context.
-
C.
usesCompetitionBrand
Indicates that one entity makes use of a product, service, or brand that belongs to a competing company or organization.
-
D.
competedFor
Indicates that an entity took part in a contest, rivalry, or competition in pursuit of another entity (such as a prize, position, or resource).
-
E.
competitiveBrandName
Indicates that one brand name is in a competitive relationship with another brand name in the same market or product space.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 3, 2026, 4:06 p.m.