Triple
T23693901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willie Blount |
E585380
|
entity |
| Predicate | memberOfPoliticalTerritory |
P153431
|
FINISHED |
| Object | Tennessee |
—
|
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: Tennessee | Statement: [Willie Blount, memberOfPoliticalTerritory, Tennessee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOfPoliticalTerritory Context triple: [Willie Blount, memberOfPoliticalTerritory, Tennessee]
-
A.
memberOfPoliticalContext
Indicates that an entity participates in, is associated with, or belongs to a particular political environment, framework, or situation.
-
B.
memberOfPoliticalInstitution
Indicates that an entity belongs to, serves in, or holds membership within a specific political body or institution.
-
C.
memberOfPoliticalMovement
Indicates that an entity belongs to, supports, or participates in a specific political movement.
-
D.
memberPolities
Indicates that one polity is a constituent or member entity within a larger political grouping, organization, or union.
-
E.
memberOfPoliticalCoalition
Indicates that an entity belongs to or participates as a constituent member in a specific political coalition.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5c47b80819083f31dbd5443343e |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f157cc43a881909ed2d8b0a09b5d73 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 17, 2026, 6:52 p.m.