Triple
T27981616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Haystacks |
E706638
|
entity |
| Predicate | tagTeamPartnerOf |
P26526
|
FINISHED |
| Object | Big Daddy (early in career) |
—
|
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 Daddy (early in career) | Statement: [Giant Haystacks, tagTeamPartnerOf, Big Daddy (early in career)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tagTeamPartnerOf Context triple: [Giant Haystacks, tagTeamPartnerOf, Big Daddy (early in career)]
-
A.
tagTeamPartner
chosen
Indicates that two entities are partners working together as a tag team in a cooperative or coordinated context.
-
B.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
C.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
D.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
-
E.
featuresTeams
Indicates that something prominently presents or includes specific teams as a central element or focus.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b693f448190b334a8a505aee5ad |
completed | May 2, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:44 p.m.