Triple

T14282877
Position Surface form Disambiguated ID Type / Status
Subject Mohammad Ali Bogra E354093 entity
Predicate spouse P13 FINISHED
Object Hamida Mohammad Ali E354093 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: Hamida Mohammad Ali | Statement: [Mohammad Ali Bogra, spouse, Hamida Mohammad Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamida Mohammad Ali
Context triple: [Mohammad Ali Bogra, spouse, Hamida Mohammad Ali]
  • A. Hamida Mohammad Ali chosen
    Hamida Mohammad Ali was the wife of Pakistani statesman and former Prime Minister Mohammad Ali Bogra.
  • B. Farida Jalal
    Farida Jalal is a veteran Indian film and television actress known for her versatile character roles and memorable performances across Hindi cinema since the 1960s.
  • C. Safa Zaki
    Safa Zaki is a cognitive psychologist and academic leader who became the first woman to serve as president of Bowdoin College.
  • D. Hadya Sher Ali
    Hadya Sher Ali is a Pakistani woman known primarily for her brief marriage to British-Pakistani heart surgeon Hasnat Khan.
  • E. Fatimah el-Sharif
    Fatimah el-Sharif was the Queen consort of Libya as the wife of King Idris I and a member of the prominent Senussi family.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467f3b3081908261261301674c4e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:10 a.m.