Triple

T4768346
Position Surface form Disambiguated ID Type / Status
Subject Michal E105865 entity
Predicate takenFromSecondHusbandBy P58655 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, takenFromSecondHusbandBy, David]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David
Context triple: [Michal, takenFromSecondHusbandBy, 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. David
    David is the advanced android (synthetic) character from the Prometheus film in the Alien franchise, known for his eerie intelligence and ambiguous morality.
  • E. Arthur
    Arthur is the given first name of Art Ross, a prominent early 20th-century Canadian ice hockey player, coach, and executive.
  • 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: takenFromSecondHusbandBy
Context triple: [Michal, takenFromSecondHusbandBy, David]
  • A. secondWifeOf
    Indicates that one person is the second spouse (by order of marriage) of another person.
  • B. exSpouse
    Indicates that two people were formerly married to each other but are no longer spouses.
  • C. marriedAfter
    Indicates that one marriage occurred later in time than another specified marriage.
  • D. marriedInto
    Indicates that one entity became connected to another’s family or group through marriage, rather than by birth or prior membership.
  • E. firstHolderSpouseOf
    Indicates that the first holder in the relation is the spouse (married partner) of the other holder.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6537eb80819096e0ae906c59d605 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67c17eac8190bde930228a0f599a completed March 21, 2026, 9:41 a.m.
PD Predicate disambiguation batch_69bd6229d8448190a271719e5e30fd82 completed March 20, 2026, 3:05 p.m.
PDg Predicate description generation batch_69bd6508e218819086a36236cfa4a249 completed March 20, 2026, 3:17 p.m.
Created at: March 20, 2026, 1:21 p.m.