Triple
T23287738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vishnu Sakharam Khandekar |
E589936
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ulka
Ulka is a celebrated Marathi novel by Vishnu Sakharam Khandekar, known for its rich psychological insight and exploration of human relationships.
|
E1576166
|
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: Ulka | Statement: [Vishnu Sakharam Khandekar, notableWork, Ulka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulka Context triple: [Vishnu Sakharam Khandekar, notableWork, Ulka]
-
A.
Ula
Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
-
B.
Ula
Ula is a character connected to the life and experiences depicted in Henry Roth’s semi-autobiographical writings.
-
C.
Uherka
Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
-
D.
Salka
Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
-
E.
Olba
Olba was an ancient city in rugged Cilicia (in what is now southern Turkey), known for its Hellenistic and Roman-era sanctuary complex and strategic position in the Taurus Mountains.
- 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: Ulka Triple: [Vishnu Sakharam Khandekar, notableWork, Ulka]
Generated description
Ulka is a celebrated Marathi novel by Vishnu Sakharam Khandekar, known for its rich psychological insight and exploration of human relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ulka Target entity description: Ulka is a celebrated Marathi novel by Vishnu Sakharam Khandekar, known for its rich psychological insight and exploration of human relationships.
-
A.
Ula
Ula is a small town and district in southwestern Turkey known for its traditional architecture and proximity to the coastal resorts of the Aegean region.
-
B.
Ula
Ula is a character connected to the life and experiences depicted in Henry Roth’s semi-autobiographical writings.
-
C.
Uherka
Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
-
D.
Salka
Salka was an Austrian-American screenwriter, actress, and influential Hollywood salon hostess known for championing European émigré artists in the 1930s and 1940s.
-
E.
Olba
Olba was an ancient city in rugged Cilicia (in what is now southern Turkey), known for its Hellenistic and Roman-era sanctuary complex and strategic position in the Taurus Mountains.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19648842c81909756be4bc06b3a45 |
completed | April 29, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f831e788190be988f1f06727947 |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c407676048190a91aee229f0126fb |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c411926fc8190b84a86450e5779c7 |
completed | May 19, 2026, 10:53 a.m. |
Created at: April 17, 2026, 5 p.m.