Triple
T29331886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mouna Ragam (Tamil film score) |
E743801
|
entity |
| Predicate | hasOriginalFilmLeadActors |
P60536
|
FINISHED |
| Object | Mohan |
—
|
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: Mohan | Statement: [Mouna Ragam (Tamil film score), hasOriginalFilmLeadActors, Mohan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalFilmLeadActors Context triple: [Mouna Ragam (Tamil film score), hasOriginalFilmLeadActors, Mohan]
-
A.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
B.
originalCastPerformer
chosen
Indicates that a performer was part of the original cast in the first production or release of a work.
-
C.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
-
D.
usedActors
Indicates that certain actors were employed or utilized in performing an action, event, or production.
-
E.
originalFilmCastIncludesPerformerOfSong
Indicates that a member of the original film’s cast is also a performer of the specified song.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 28, 2026, 1:29 p.m.