Triple
T29709987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swathi Reddy |
E751751
|
entity |
| Predicate | hasSungForFilm |
P158643
|
FINISHED |
| Object | Karthikeya |
—
|
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: Karthikeya | Statement: [Swathi Reddy, hasSungForFilm, Karthikeya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSungForFilm Context triple: [Swathi Reddy, hasSungForFilm, Karthikeya]
-
A.
sungInFilmBy
chosen
Indicates that a particular song was vocally performed in a film by a specific person or group.
-
B.
hasMadeFilm
Indicates that a person or entity has created, directed, or otherwise produced a particular film.
-
C.
hasFilmCareer
Indicates that an entity has been professionally involved in the film industry as a career.
-
D.
hasFilmForm
Indicates a relationship where a film is associated with its specific form or format (such as medium, structure, or presentation type).
-
E.
hasLiveActionFilm
Indicates that a subject has a corresponding live-action film adaptation or representation.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: April 28, 2026, 7:30 p.m.