Triple
T30759073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Gardner |
E783176
|
entity |
| Predicate | barAssociationMembership |
P170098
|
FINISHED |
| Object | Illinois State Bar (fictional) |
—
|
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: Illinois State Bar (fictional) | Statement: [Will Gardner, barAssociationMembership, Illinois State Bar (fictional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barAssociationMembership Context triple: [Will Gardner, barAssociationMembership, Illinois State Bar (fictional)]
-
A.
hasAssociateMember
Indicates that an entity has another entity connected to it in a non-full, typically limited or secondary, membership capacity.
-
B.
associationStatus
Indicates the current state or condition of an established association or relationship between entities.
-
C.
leaderAssociatedWith
Indicates a relationship where a leader is connected or affiliated with a particular entity, such as an organization, group, or cause.
-
D.
catalogueAssociation
Indicates an association between an entity and a catalogue, such as inclusion, listing, or reference within that catalogue.
-
E.
confersMembershipIn
Indicates that one entity grants or bestows membership status in a group, organization, or category upon another entity.
- F. None of above. chosen
Provenance (4 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f9a8f888190b7b14dc5b0bc86ca |
completed | May 2, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68848ad348190a2fb6e841dcfdb7d |
completed | May 2, 2026, 11:27 p.m. |
Created at: April 29, 2026, 8:39 p.m.