Triple

T1061027
Position Surface form Disambiguated ID Type / Status
Subject Michal E22906 entity
Predicate firstWifeOf P24358 FINISHED
Object David E34716 NE FINISHED

How this triple was built (3 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: David | Statement: [Michal, firstWifeOf, David]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David
Context triple: [Michal, firstWifeOf, David]
  • A. David
    David is the middle name of Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in Europe during World War II.
  • B. David chosen
    David is a common given name and surname of Hebrew origin, widely used across many cultures and historically associated with the biblical King David.
  • C. David
    David is a major city in western Panama and the capital of Chiriquí Province.
  • D. Arthur
    Arthur is a long-running animated children's television series that follows the everyday adventures and life lessons of Arthur Read, an anthropomorphic aardvark, and his friends and family.
  • E. Arthur
    Arthur is a common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstWifeOf
Context triple: [Michal, firstWifeOf, David]
  • A. firstHolderSpouseOf
    Indicates that the first holder in the relation is the spouse (married partner) of the other holder.
  • B. secondWifeOf
    Indicates that one person is the second spouse (by order of marriage) of another person.
  • C. spouseNotableFor
    Indicates that a person's spouse is recognized or distinguished for a particular achievement, role, or characteristic.
  • D. marriedToUSPresident
    Indicates being legally married to an individual who holds or has held the office of President of the United States.
  • E. servedAsFirstLadyOfTheUnitedStatesFrom
    Indicates that a person held the role of First Lady of the United States during a specified time period.
  • F. None of above. chosen

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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4ba6e35ac8190802341c31bda0e3b completed March 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69add19c8dac8190b99a00fc2131b0f4 completed March 8, 2026, 7:44 p.m.
PD Predicate disambiguation batch_69a4b7340a048190807363f19d17a58f completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4ba6d44c08190bf0ab28661ed8ca0 completed March 1, 2026, 10:15 p.m.
Created at: March 1, 2026, 7:42 p.m.