Triple
T22301333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moropant |
E551263
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kekavali
Kekavali is a renowned Marathi literary work by the 18th-century poet Moropant, celebrated for its devotional and poetic richness.
|
E1529789
|
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: Kekavali | Statement: [Moropant, notableWork, Kekavali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kekavali Context triple: [Moropant, notableWork, Kekavali]
-
A.
Kallakurichi
Kallakurichi is a town in the Indian state of Tamil Nadu, known as an agricultural and commercial center in the region.
-
B.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
C.
Vandiyur
Vandiyur is a locality in Madurai, Tamil Nadu, known for its historic temple tank and religious significance.
-
D.
Arasavalli
Arasavalli is a town in Andhra Pradesh, India, best known as a prominent pilgrimage center for its ancient Sun Temple dedicated to the Hindu Sun God.
-
E.
Karpagam
Karpagam is a notable Indian film associated with the acclaimed actress Savithri, recognized for her impactful performance in it.
- 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: Kekavali Triple: [Moropant, notableWork, Kekavali]
Generated description
Kekavali is a renowned Marathi literary work by the 18th-century poet Moropant, celebrated for its devotional and poetic richness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kekavali Target entity description: Kekavali is a renowned Marathi literary work by the 18th-century poet Moropant, celebrated for its devotional and poetic richness.
-
A.
Kallakurichi
Kallakurichi is a town in the Indian state of Tamil Nadu, known as an agricultural and commercial center in the region.
-
B.
Keelakarai
Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
-
C.
Vandiyur
Vandiyur is a locality in Madurai, Tamil Nadu, known for its historic temple tank and religious significance.
-
D.
Arasavalli
Arasavalli is a town in Andhra Pradesh, India, best known as a prominent pilgrimage center for its ancient Sun Temple dedicated to the Hindu Sun God.
-
E.
Karpagam
Karpagam is a notable Indian film associated with the acclaimed actress Savithri, recognized for her impactful performance in it.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157245ee481909a7a3397de3ae355 |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acc9a42c881909a032c05465fa6b6 |
completed | May 18, 2026, 8:23 a.m. |
| NEDg | Description generation | batch_6a0ace24be708190b663a32b53bef147 |
completed | May 18, 2026, 8:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ace9c54dc8190acbd781fa672481b |
completed | May 18, 2026, 8:32 a.m. |
Created at: April 16, 2026, 8:41 p.m.