Triple

T19023890
Position Surface form Disambiguated ID Type / Status
Subject Tun E465556 entity
Predicate femaleEquivalent P1613 FINISHED
Object Toh Puan 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: Toh Puan | Statement: [Tun, femaleEquivalent, Toh Puan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toh Puan
Context triple: [Tun, femaleEquivalent, Toh Puan]
  • A. Toh Puan chosen
    Toh Puan is an honorific title in Malaysia traditionally granted to the wife of a man who has been conferred one of the nation’s highest federal awards, placing her among the country’s most distinguished female consorts.
  • B. Puan
    Puan is a town in the Buenos Aires Province of Argentina known for its significant German Argentine community and cultural heritage.
  • C. May Chin
    May Chin is a Taiwanese actress best known internationally for her role in Ang Lee’s acclaimed 1993 film "The Wedding Banquet."
  • D. Mei-ling
    Mei-ling is the given name of Soong Mei-ling, the influential 20th-century Chinese political figure and wife of Chiang Kai-shek.
  • E. Astrid Leong-Teo
    Astrid Leong-Teo is a stylish, wealthy, and emotionally complex Singaporean socialite from the "Crazy Rich Asians" series, known for her elegance, quiet strength, and troubled marriage.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6e166088190937ef19739437f7c completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.