Triple
T29320520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annamalai |
E743501
|
entity |
| Predicate | leadActressPlaysRole |
P170737
|
FINISHED |
| Object | Kushboo as Subbulakshmi |
—
|
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: Kushboo as Subbulakshmi | Statement: [Annamalai, leadActressPlaysRole, Kushboo as Subbulakshmi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActressPlaysRole Context triple: [Annamalai, leadActressPlaysRole, Kushboo as Subbulakshmi]
-
A.
leadActressCharacterName
chosen
Indicates the name of the character portrayed by the lead actress in a given work.
-
B.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
C.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
D.
creditedRoleOf
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
E.
replacesInLeadRole
Indicates that one entity takes over or substitutes for another entity in the primary or leading role within a given context or 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 28, 2026, 1:22 p.m.