Triple
T22757554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prashant Damle |
E562890
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Moruchi Mavshi
Moruchi Mavshi is a popular Marathi stage play, best known for its comedic storyline and for being one of the signature performances of actor Prashant Damle.
|
E1554228
|
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: Moruchi Mavshi | Statement: [Prashant Damle, notableWork, Moruchi Mavshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moruchi Mavshi Context triple: [Prashant Damle, notableWork, Moruchi Mavshi]
-
A.
Mochima
Mochima is a coastal town and bay area in northeastern Venezuela known for its scenic beaches and as a gateway to the surrounding national park and nearby islands.
-
B.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
C.
Maho
Maho is a town in Sri Lanka’s North Western Province known as a local commercial and transport hub in the Kurunegala District.
-
D.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
E.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
- 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: Moruchi Mavshi Triple: [Prashant Damle, notableWork, Moruchi Mavshi]
Generated description
Moruchi Mavshi is a popular Marathi stage play, best known for its comedic storyline and for being one of the signature performances of actor Prashant Damle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moruchi Mavshi Target entity description: Moruchi Mavshi is a popular Marathi stage play, best known for its comedic storyline and for being one of the signature performances of actor Prashant Damle.
-
A.
Mochima
Mochima is a coastal town and bay area in northeastern Venezuela known for its scenic beaches and as a gateway to the surrounding national park and nearby islands.
-
B.
Marichi
Marichi is a revered Vedic sage (one of the Saptarishi) regarded as a mind-born son of Brahma and an important progenitor in Hindu cosmology.
-
C.
Maho
Maho is a town in Sri Lanka’s North Western Province known as a local commercial and transport hub in the Kurunegala District.
-
D.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
E.
Munefusa
Munefusa is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and travel writer.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a798ae08190b9810bf241613198 |
completed | April 29, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b98150cfc8190a3530e51f0311e33 |
completed | May 18, 2026, 10:52 p.m. |
| NEDg | Description generation | batch_6a0b99f7ee848190a4838e757cff7de6 |
completed | May 18, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9ab1cb508190befa17184bfd8f51 |
completed | May 18, 2026, 11:03 p.m. |
Created at: April 17, 2026, 3:25 p.m.