Triple
T22442072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dev Anand |
E554776
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hum Dono |
—
|
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: Hum Dono | Statement: [Dev Anand, notableWork, Hum Dono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hum Dono Context triple: [Dev Anand, notableWork, Hum Dono]
-
A.
Hum Dono
chosen
Hum Dono is a 1961 Hindi film best known for its memorable music, philosophical themes, and Dev Anand’s dual role performance.
-
B.
Hum Dekhenge
"Hum Dekhenge" is a famous Urdu revolutionary poem by Faiz Ahmed Faiz that has become an enduring anthem of resistance and hope against oppression.
-
C.
Kaise Mujhe
"Kaise Mujhe" is a popular romantic Hindi song from the 2008 Bollywood film Ghajini, composed by A. R. Rahman and noted for its soulful melody and emotional lyrics.
-
D.
Jo Haal Dil Ka
"Jo Haal Dil Ka" is a romantic Hindi song from the acclaimed 1999 Bollywood film Sarfarosh, known for its melodious composition and emotional lyrics.
-
E.
Bhagam Bhag
Bhagam Bhag is a 2006 Indian Hindi-language comedy film directed by Priyadarshan, known for its slapstick humor and ensemble cast including Akshay Kumar, Govinda, and Lara Dutta.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae2f7608190b1c1e8bd12ca2162 |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.