Triple
T37280331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindsay Weir |
E925367
|
entity |
| Predicate | formerGroupMembership |
P74283
|
FINISHED |
| Object | mathletes |
—
|
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: mathletes | Statement: [Lindsay Weir, formerGroupMembership, mathletes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerGroupMembership Context triple: [Lindsay Weir, formerGroupMembership, mathletes]
-
A.
memberOfGroupWith
Indicates that an entity belongs to, or is associated as a member with, a particular group or collection of entities.
-
B.
killsMembersOf
Indicates that one entity causes the death of individuals who belong to a particular group or organization.
-
C.
groupAffiliation
chosen
Indicates that an entity is associated with, belongs to, or is a member of a particular group or organization.
-
D.
rangeMemberOf
Indicates that an entity belongs to, or is a member of, the value range defined by another entity (such as a property or function).
-
E.
formedGroup
Indicates that multiple entities have come together to create or establish a group or collective unit.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00cbae75988190974f5b45a2e62326 |
completed | May 10, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_6a00cabe4c5881909cca5efbe494e0d1 |
completed | May 10, 2026, 6:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.