Triple
T26533318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don (1978 film) |
E670876
|
entity |
| Predicate | portraysUnderworld |
P176702
|
FINISHED |
| Object | Indian mafia |
—
|
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: Indian mafia | Statement: [Don (1978 film), portraysUnderworld, Indian mafia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysUnderworld Context triple: [Don (1978 film), portraysUnderworld, Indian mafia]
-
A.
underworldJourney
Indicates a journey or descent by an entity into an underworld or realm of the dead, typically involving passage through or interaction with that realm.
-
B.
positionInUnderworld
Indicates a hierarchical or role-based position that an entity holds within an underworld or criminal organization.
-
C.
portraysVampiresAs
Indicates how something represents or depicts vampires, especially in terms of their nature, traits, or role.
-
D.
underworldRegion
Indicates a region that is located within or associated with the underworld or subterranean realm.
-
E.
underworldRegionJudged
Indicates that a particular region of the underworld is the one in which a judgment or evaluation takes place.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e60109648190947a64ca4ce81a3a |
completed | May 3, 2026, 6:06 a.m. |
Created at: April 27, 2026, 1:37 a.m.