Triple
T23790986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockingham Whigs |
E588088
|
entity |
| Predicate | associatedThinker |
P28365
|
FINISHED |
| Object | Edmund Burke |
—
|
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: Edmund Burke | Statement: [Rockingham Whigs, associatedThinker, Edmund Burke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedThinker Context triple: [Rockingham Whigs, associatedThinker, Edmund Burke]
-
A.
associatedWithPhilosophicalMovement
Indicates that an entity is linked or connected to a particular philosophical movement, school, or tradition.
-
B.
associatedTheologian
Indicates a relationship where a theologian is connected or linked to a particular subject, work, institution, or context.
-
C.
associatedScholar
chosen
Indicates a relationship where a scholar is linked or connected to another entity (such as a work, institution, or concept) through relevant academic or intellectual involvement.
-
D.
discussesThinker
Indicates that one entity engages in discussion or analysis about a particular thinker or philosopher.
-
E.
associatedWithAcharya
Indicates a relationship in which an entity is connected, linked, or related in some relevant way to an acharya (a spiritual or scholarly teacher).
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c6d8215c8190af4f2dd7478e2c04 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.