Triple

T21202329
Position Surface form Disambiguated ID Type / Status
Subject Fariduddin Masud E522486 entity
Predicate honorific P301 FINISHED
Object Baba NE NERFINISHED

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: Baba | Statement: [Fariduddin Masud, honorific, Baba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baba
Context triple: [Fariduddin Masud, honorific, Baba]
  • A. Baba
    Baba is the wealthy, principled yet emotionally distant father of Amir in the film adaptation of "The Kite Runner."
  • B. Baba
    Baba is the emotionally distant, aging father in Anita Desai’s novel "Clear Light of Day," whose withdrawn presence shapes the childhood and adult lives of his children.
  • C. Baba chosen
    Baba is an honorific title used in South Asian cultures, particularly in Sikh and Punjabi traditions, to denote respect for an elder, spiritual leader, or revered figure.
  • D. Jan Baba
    Jan Baba is a historical figure commemorated by a tomb that bears his name, indicating his local or cultural significance.
  • E. BABA
    BABA is the stock ticker for Alibaba Group Holding Limited, a leading Chinese multinational technology company specializing in e-commerce, cloud computing, digital media, and related services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73431973c81908c8682d7808a9d13 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:19 p.m.