Triple
T26482150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECW World Tag Team Championship |
E664716
|
entity |
| Predicate | firstChampionsMember |
P6585
|
FINISHED |
| Object | Super Destroyer I |
—
|
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: Super Destroyer I | Statement: [ECW World Tag Team Championship, firstChampionsMember, Super Destroyer I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChampionsMember Context triple: [ECW World Tag Team Championship, firstChampionsMember, Super Destroyer I]
-
A.
firstMember
Indicates that one entity is the first member or element in an ordered collection or group relative to the others.
-
B.
foundingMember
Indicates that an entity is one of the original creators or initial participants involved in establishing another entity, such as an organization, group, or project.
-
C.
firstChampions
Indicates that the subject entities are the initial or earliest champions (winners or title holders) in a given competition, event, or context.
-
D.
firstChampion
chosen
Indicates that one entity is the earliest or original champion or title-holder in relation to another entity.
-
E.
firstLawMember
Indicates that an entity is a member or component of the first law within a set or system of laws.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: April 27, 2026, 12:28 a.m.