Triple
T29212889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jailer |
E740587
|
entity |
| Predicate | notableSongComposer |
P47024
|
FINISHED |
| Object | Anirudh Ravichander |
E640521
|
NE 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: Anirudh Ravichander | Statement: [Jailer, notableSongComposer, Anirudh Ravichander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSongComposer Context triple: [Jailer, notableSongComposer, Anirudh Ravichander]
-
A.
notableSongwriterOn
Indicates that one entity is recognized as a notable songwriter contributing to or associated with another entity (such as a musical work or recording).
-
B.
notableLyricist
Indicates that the subject is a lyricist who is particularly distinguished or well-known for their work.
-
C.
hasMusicalComposer
chosen
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
-
D.
notableMusician
Indicates that the subject is a musician who is widely recognized or distinguished for their musical work or impact.
-
E.
notableProducer
Indicates that an entity is a significant or well-known producer associated with another entity, such as a work, product, or project.
- F. None of above.
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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a03232efd8481908ee25447a29ee20b |
completed | May 12, 2026, 12:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25c0d906c08190ab0e9b15d355a6bd |
completed | June 7, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_6a032269dcb08190907c965c28145b77 |
completed | May 12, 2026, 12:51 p.m. |
Created at: April 28, 2026, 12:12 p.m.