Triple
T15004642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akbar–Birbal folklore cycle |
E377676
|
entity |
| Predicate | portraysAkbarAs |
P100368
|
FINISHED |
| Object | curious ruler |
—
|
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: curious ruler | Statement: [Akbar–Birbal folklore cycle, portraysAkbarAs, curious ruler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysAkbarAs Context triple: [Akbar–Birbal folklore cycle, portraysAkbarAs, curious ruler]
-
A.
roleInAkbarsLife
Indicates the specific role, position, or significance that one entity held in relation to Akbar’s life.
-
B.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
C.
portraysKingRichardAs
Indicates that a subject represents or depicts King Richard in a particular manner or characterization.
-
D.
portraysPersonAs
chosen
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
E.
portraysInVikramarjunaVijaya
Indicates that one entity depicts or represents another within the context of the work "Vikramarjuna Vijaya."
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.