Triple
T23237686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumitra Bhave |
E581346
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Vihir
Vihir is a critically acclaimed Marathi-language film known for its contemplative exploration of adolescence, loss, and family relationships.
|
E1578975
|
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: Vihir | Statement: [Sumitra Bhave, notableWork, Vihir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vihir Context triple: [Sumitra Bhave, notableWork, Vihir]
-
A.
Võlla
Võlla is a small village located on Muhu Island in Saare County, western Estonia.
-
B.
Kuusalu
Kuusalu is a small borough in northern Estonia that serves as the main local hub for administration, services, and community life in the surrounding rural area.
-
C.
Jõhvi
Jõhvi is a town in northeastern Estonia that serves as the administrative center of Ida-Viru County.
-
D.
Järva
Järva is a district in northern Stockholm, Sweden, known for its large residential areas, green spaces, and diverse population.
-
E.
Viedma
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
- 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: Vihir Triple: [Sumitra Bhave, notableWork, Vihir]
Generated description
Vihir is a critically acclaimed Marathi-language film known for its contemplative exploration of adolescence, loss, and family relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vihir Target entity description: Vihir is a critically acclaimed Marathi-language film known for its contemplative exploration of adolescence, loss, and family relationships.
-
A.
Võlla
Võlla is a small village located on Muhu Island in Saare County, western Estonia.
-
B.
Kuusalu
Kuusalu is a small borough in northern Estonia that serves as the main local hub for administration, services, and community life in the surrounding rural area.
-
C.
Jõhvi
Jõhvi is a town in northeastern Estonia that serves as the administrative center of Ida-Viru County.
-
D.
Järva
Järva is a district in northern Stockholm, Sweden, known for its large residential areas, green spaces, and diverse population.
-
E.
Viedma
Viedma is a city in northern Patagonia and one of the oldest settlements in Argentina, serving as the capital of Río Negro Province.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ea590c81908cd677d89f67d49f |
completed | April 29, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f5c2004819086c7e7c629e33b67 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c4028b44c8190bde6e2c76b5f1587 |
completed | May 19, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4367753c8190a4f6dbf2afd12b76 |
completed | May 19, 2026, 11:03 a.m. |
Created at: April 17, 2026, 4:09 p.m.