Triple
T22755630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rekha |
E562834
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Alaap |
—
|
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: Alaap | Statement: [Rekha, notableWork, Alaap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alaap Context triple: [Rekha, notableWork, Alaap]
-
A.
Alaap
chosen
Alaap is a 1977 Hindi musical drama film directed by Hrishikesh Mukherjee, known for its poignant exploration of idealism, social inequality, and the transformative power of music.
-
B.
Apala
Apala is a traditional Yoruba percussion-driven music genre from Nigeria, known for its complex drumming patterns and call-and-response vocals often associated with Islamic and social commentary themes.
-
C.
Raga
Raga is an Oceanic language spoken on Pentecost Island in Vanuatu, known for its rich oral traditions and complex verb morphology.
-
D.
Raga
Raga is a 1971 documentary film featuring Ravi Shankar that explores Indian classical music and culture, released in association with Apple Films.
-
E.
Santoor
Santoor is a popular Indian personal care brand best known for its sandalwood and turmeric-based bathing soaps.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.