Triple
T1392285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shame |
E29985
|
entity |
| Predicate | settingInspiredBy |
P14480
|
FINISHED |
| Object | political history of Pakistan |
—
|
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: political history of Pakistan | Statement: [Shame, settingInspiredBy, political history of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingInspiredBy Context triple: [Shame, settingInspiredBy, political history of Pakistan]
-
A.
inspiredByBand
Indicates that one entity (such as a work, style, or artist) was creatively influenced or motivated by a particular band.
-
B.
inspiredByPlace
chosen
Indicates that something (such as a work, idea, or creation) originates from or is significantly influenced by a particular location or environment.
-
C.
inspiredAuthor
Indicates that one entity served as a source of creative or intellectual inspiration for an author entity.
-
D.
inspiredArtist
Indicates that one artist has served as a source of creative influence or inspiration for another artist.
-
E.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c360a7f08190ab7e903764b06fdf |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4beffcf808190ab4cd0271257ce63 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.