Triple
T5693902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irrfan Khan |
E125488
|
entity |
| Predicate | hasGenreOfRoles |
P57938
|
FINISHED |
| Object | realist performance |
—
|
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: realist performance | Statement: [Irrfan Khan, hasGenreOfRoles, realist performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreOfRoles Context triple: [Irrfan Khan, hasGenreOfRoles, realist performance]
-
A.
hasGenreInRoles
chosen
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
B.
hasGenreList
Indicates that an entity is associated with a set or list of genres that categorize or describe it.
-
C.
genreRole
Indicates a relationship where an entity holds a specific functional or categorical role within a particular genre.
-
D.
belongsToWorkGenre
Indicates that a creative work is classified under or associated with a particular genre.
-
E.
hasGenreArtist
Indicates that an artist is associated with or specializes in 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.