Triple
T22801093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saira Banu |
E564393
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Aayi Milan Ki Bela
Aayi Milan Ki Bela is a 1964 Hindi romantic drama film best known for its music and for featuring actress Saira Banu in a prominent role.
|
E1555865
|
NE FINISHED |
How this triple was built (4 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: Aayi Milan Ki Bela | Statement: [Saira Banu, notableWork, Aayi Milan Ki Bela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aayi Milan Ki Bela Context triple: [Saira Banu, notableWork, Aayi Milan Ki Bela]
-
A.
Bareilly Ki Barfi
Bareilly Ki Barfi is a 2017 Hindi romantic comedy film set in a small town, known for its charming storytelling, strong performances, and lighthearted take on love and identity.
-
B.
Chhoti Bahen
Chhoti Bahen is a 1959 Hindi family drama film directed by L.V. Prasad, known for its emotional storyline and popular music.
-
C.
Bakshi Ka Talab
Bakshi Ka Talab is a town in Uttar Pradesh, India, known for serving as a local administrative and civic hub within the Lucknow district.
-
D.
Aži Dahāg
Aži Dahāg is a monstrous, many-headed dragon or serpent from ancient Iranian and Zoroastrian mythology, often depicted as a symbol of chaos and evil.
-
E.
Dilwaala
Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aayi Milan Ki Bela Triple: [Saira Banu, notableWork, Aayi Milan Ki Bela]
Generated description
Aayi Milan Ki Bela is a 1964 Hindi romantic drama film best known for its music and for featuring actress Saira Banu in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aayi Milan Ki Bela Target entity description: Aayi Milan Ki Bela is a 1964 Hindi romantic drama film best known for its music and for featuring actress Saira Banu in a prominent role.
-
A.
Bareilly Ki Barfi
Bareilly Ki Barfi is a 2017 Hindi romantic comedy film set in a small town, known for its charming storytelling, strong performances, and lighthearted take on love and identity.
-
B.
Chhoti Bahen
Chhoti Bahen is a 1959 Hindi family drama film directed by L.V. Prasad, known for its emotional storyline and popular music.
-
C.
Bakshi Ka Talab
Bakshi Ka Talab is a town in Uttar Pradesh, India, known for serving as a local administrative and civic hub within the Lucknow district.
-
D.
Aži Dahāg
Aži Dahāg is a monstrous, many-headed dragon or serpent from ancient Iranian and Zoroastrian mythology, often depicted as a symbol of chaos and evil.
-
E.
Dilwaala
Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
- F. None of above. chosen
Provenance (5 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdd87648190ba30f0b8f3ef7346 |
completed | April 29, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e99775c819091e8260f3c9da2ee |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba2c43ba88190bdde24a376d4f713 |
completed | May 18, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba364e9288190b0985cfc176e5eae |
completed | May 18, 2026, 11:40 p.m. |
Created at: April 17, 2026, 3:31 p.m.