Triple

T23634723
Position Surface form Disambiguated ID Type / Status
Subject Kanaiyalal Maneklal Munshi E583709 entity
Predicate notableWork P4 FINISHED
Object Jai Somnath
Jai Somnath is a historical novel in Gujarati literature that dramatizes the fall of the Somnath temple to Mahmud of Ghazni, emphasizing themes of valor, faith, and cultural pride.
E1595145 NE FINISHED

How this triple was built (2 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: Jai Somnath | Statement: [Kanaiyalal Maneklal Munshi, notableWork, Jai Somnath]
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: Jai Somnath
Triple: [Kanaiyalal Maneklal Munshi, notableWork, Jai Somnath]
Generated description
Jai Somnath is a historical novel in Gujarati literature that dramatizes the fall of the Somnath temple to Mahmud of Ghazni, emphasizing themes of valor, faith, and cultural pride.

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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1eb38a481909f7ceeaefb7b43ce completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45a2c05c8190a8de0be177c0f0f3 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f46faaa5481909c99edb4bdd30049 completed May 21, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f484988d081909280fe863dc80e30 completed May 21, 2026, 6 p.m.
Created at: April 17, 2026, 6:47 p.m.