Triple
T6125077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Red Marching Band |
E136574
|
entity |
| Predicate | openMembership |
P9090
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Big Red Marching Band, openMembership, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openMembership Context triple: [Big Red Marching Band, openMembership, true]
-
A.
membershipOpenTo
chosen
Indicates that joining or belonging to a group, organization, or category is permitted for the specified entities or audience.
-
B.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
-
C.
offersMemberships
Indicates that an entity provides or makes available membership options or programs to other entities.
-
D.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
E.
alternativeMembership
Indicates that an entity belongs to one of several possible groups or categories that can substitute for each other as valid memberships.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c2791948190ba33458edfd1ebe8 |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.