Triple
T33245529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahabir Bhati |
E851087
|
entity |
| Predicate | hasOccupationInNarrative |
P150357
|
FINISHED |
| Object | criminal (fictional) |
—
|
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: criminal (fictional) | Statement: [Mahabir Bhati, hasOccupationInNarrative, criminal (fictional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOccupationInNarrative Context triple: [Mahabir Bhati, hasOccupationInNarrative, criminal (fictional)]
-
A.
hasProfessionInNarrative
chosen
Indicates that an entity holds or is assigned a particular profession or occupational role within the context of a narrative or story.
-
B.
hasOccupationAttribute
Indicates that an entity possesses a specific characteristic, quality, or attribute related to its occupation or job.
-
C.
hasOccupationInferred
Indicates that an entity is inferred, rather than explicitly stated, to have a particular occupation or professional role.
-
D.
hasHumanOccupationEvidence
Indicates that there is supporting evidence that a human has held or currently holds a particular occupation or job role.
-
E.
hasOccupationInWork
Indicates that an entity holds or performs a specific occupation within a particular work, project, or creative production.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6daf3963081909fc96cbd1642cd21 |
completed | May 3, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69f6d82fef788190b9ad19a36c0312dc |
completed | May 3, 2026, 5:08 a.m. |
Created at: May 1, 2026, 1:31 a.m.