Triple
T36648198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maidaan |
E904766
|
entity |
| Predicate | characterPortrayedByAjayDevgn |
P200980
|
FINISHED |
| Object | Syed Abdul Rahim |
—
|
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: Syed Abdul Rahim | Statement: [Maidaan, characterPortrayedByAjayDevgn, Syed Abdul Rahim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPortrayedByAjayDevgn Context triple: [Maidaan, characterPortrayedByAjayDevgn, Syed Abdul Rahim]
-
A.
characterPlayedByAjithKumar
Indicates that a given character is portrayed or played by the actor Ajith Kumar.
-
B.
characterPlayedByShrutiHaasan
Indicates that a specific character is portrayed or acted by Shruti Haasan.
-
C.
leadActorForCharacterDevdhar
Indicates that the subject is the primary actor who portrays the character Devdhar.
-
D.
leadActorForCharacterKaran
Indicates that the specified person is the lead actor portraying the character named Karan.
-
E.
characterPlayedByPrabhu
Indicates that a given character is portrayed or acted by the actor Prabhu.
- 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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
| PDg | Predicate description generation | batch_69ffbf8402c48190a9bf3c3fcb874508 |
completed | May 9, 2026, 11:13 p.m. |
Created at: May 3, 2026, 4:11 p.m.