Triple

T7661097
Position Surface form Disambiguated ID Type / Status
Subject Ashtadiggajas E173506 entity
Predicate hasMember P10 FINISHED
Object Pingali Surana E181895 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: Pingali Surana | Statement: [Ashtadiggajas, hasMember, Pingali Surana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pingali Surana
Context triple: [Ashtadiggajas, hasMember, Pingali Surana]
  • A. Pingali Surana chosen
    Pingali Surana was a prominent 16th-century Telugu poet and writer of the Vijayanagara era, renowned for his classical works such as "Kalapurnodayam."
  • B. Kailashey Kelenkari
    "Kailashey Kelenkari" is a popular detective novel in Satyajit Ray’s Feluda series, featuring the sleuth Pradosh C. Mitter investigating a mystery linked to ancient Indian art and heritage.
  • C. Simhadri
    Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
  • D. Srinatha
    Srinatha was a renowned 14th–15th century Telugu poet and scholar celebrated for his courtly poetry and major contributions to classical Telugu literature.
  • E. Kumar Pallana
    Kumar Pallana was an Indian-American character actor and performer known for his quirky supporting roles in several Wes Anderson films and in Steven Spielberg’s "The Terminal."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a6029c819082b467f028d59655 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2206664819085c6825e63eadd6f completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 3:59 p.m.