Triple
T27067021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiriakhana |
E685200
|
entity |
| Predicate | directorAlsoComposedMusic |
P178274
|
FINISHED |
| Object | Satyajit Ray |
—
|
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: Satyajit Ray | Statement: [Chiriakhana, directorAlsoComposedMusic, Satyajit Ray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directorAlsoComposedMusic Context triple: [Chiriakhana, directorAlsoComposedMusic, Satyajit Ray]
-
A.
composerOfSoundtrackFor
Indicates that one entity created the musical score or soundtrack specifically for a work associated with another entity.
-
B.
scoredBySameComposerAsFilm
Indicates that the work is scored by a composer who also composed the score for the referenced film.
-
C.
composedForMusicBy
Indicates that a musical work was specifically created or written by a particular composer.
-
D.
producedComposer
Indicates that one entity served as the producer for a musical work created or composed by another entity.
-
E.
soundtrackLyricist
Indicates that a person is the lyricist who wrote the words for the soundtrack of a work (such as a film, show, or game).
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 27, 2026, 8:25 a.m.