Triple
T23995075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Heavyweight Championship (WWE) |
E605166
|
entity |
| Predicate | beltNickname |
P25214
|
FINISHED |
| Object | Big Gold Belt |
—
|
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: Big Gold Belt | Statement: [World Heavyweight Championship (WWE), beltNickname, Big Gold Belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beltNickname Context triple: [World Heavyweight Championship (WWE), beltNickname, Big Gold Belt]
-
A.
stageNickname
Indicates that one entity is the stage name or performance nickname used by another entity.
-
B.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
C.
notableNickname
chosen
Indicates that one entity is a well-known or widely recognized nickname or moniker for another entity.
-
D.
beltType
Indicates the specific kind or category of belt associated with an entity.
-
E.
trackNickname
Indicates that one entity is known or referred to by a particular nickname within the context of a track or recording.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38ec7cc8190b91cfa09f88dacc6 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.