Triple
T24545896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rag |
E607223
|
entity |
| Predicate | traditionalMembership |
P156266
|
FINISHED |
| Object | British military officers |
—
|
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: British military officers | Statement: [The Rag, traditionalMembership, British military officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalMembership Context triple: [The Rag, traditionalMembership, British military officers]
-
A.
professionalMembership
Indicates that an entity holds membership or affiliation in a professional organization, association, or body.
-
B.
traditionalMemberRace
Indicates that an entity belongs to a race or ethnic group that is traditionally associated with or historically characteristic of a particular membership or community.
-
C.
originalMemberClub
Indicates that an entity was one of the initial or founding members of a particular club.
-
D.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
-
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. 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8c9ab9c81909ff56f707e3fd27b |
completed | April 30, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:27 a.m.