Triple
T8404952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddhadeb Dasgupta |
E198471
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Anara
Anara is a town in West Bengal, India, known as the birthplace of acclaimed filmmaker and poet Buddhadeb Dasgupta.
|
E734186
|
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: Anara | Statement: [Buddhadeb Dasgupta, birthPlace, Anara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anara Context triple: [Buddhadeb Dasgupta, birthPlace, Anara]
-
A.
Anari
Anari is a 1959 Hindi romantic drama film starring Raj Kapoor and Nutan, celebrated for its music and social themes.
-
B.
Ardenna
Ardenna is a genus of medium to large seabirds known as shearwaters, which are long-winged oceanic birds in the petrel family.
-
C.
Adara
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
-
D.
Andera
Andera is a central character from the film "Beautiful Girls," known for her charm and the impact she has on the protagonist’s emotional journey.
-
E.
Anredera
Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
- 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: Anara Triple: [Buddhadeb Dasgupta, birthPlace, Anara]
Generated description
Anara is a town in West Bengal, India, known as the birthplace of acclaimed filmmaker and poet Buddhadeb Dasgupta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anara Target entity description: Anara is a town in West Bengal, India, known as the birthplace of acclaimed filmmaker and poet Buddhadeb Dasgupta.
-
A.
Anari
Anari is a 1959 Hindi romantic drama film starring Raj Kapoor and Nutan, celebrated for its music and social themes.
-
B.
Ardenna
Ardenna is a genus of medium to large seabirds known as shearwaters, which are long-winged oceanic birds in the petrel family.
-
C.
Adara
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
-
D.
Andera
Andera is a central character from the film "Beautiful Girls," known for her charm and the impact she has on the protagonist’s emotional journey.
-
E.
Anredera
Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83116bf48190894bd5d5465520ef |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d34214481908503c662eb060ff7 |
completed | April 2, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_69ce1fb008988190ae8e148cd937f5c4 |
completed | April 2, 2026, 7:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce205313fc8190863dbc6c904ef1af |
completed | April 2, 2026, 7:52 a.m. |
Created at: March 30, 2026, 6:05 p.m.