Triple

T2812459
Position Surface form Disambiguated ID Type / Status
Subject Queen E54201 entity
Predicate hasMaritalCounterpart P33561 FINISHED
Object King E280718 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: King | Statement: [Queen, hasMaritalCounterpart, King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King
Context triple: [Queen, hasMaritalCounterpart, King]
  • A. King
    The King is the reigning male monarch who serves as the head of state of the United Kingdom within its constitutional monarchy system.
  • B. King
    King is a township in the Regional Municipality of York in Ontario, Canada, known for its rural landscapes, rolling hills, and equestrian farms within the Greater Toronto Area.
  • C. King
    The King of Norway is the constitutional monarch and ceremonial head of state in Norway’s parliamentary system.
  • D. King
    King is a prominent video game company best known for creating the massively popular mobile puzzle game Candy Crush Saga.
  • E. King chosen
    King is a regal title traditionally denoting a male sovereign ruler of a kingdom, often associated with supreme authority and hereditary monarchy.
  • 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: hasMaritalCounterpart
Context triple: [Queen, hasMaritalCounterpart, King]
  • A. marriedIn
    Indicates that two entities entered into a marital relationship at a specific place or within a particular jurisdiction.
  • B. spouseAssociatedWith chosen
    Indicates a marital or spousal relationship or close association between two entities.
  • C. hasSpouseDescribed
    Indicates that one entity is described as the spouse of another entity.
  • D. spouseStatus
    Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
  • E. spouseInstanceOf
    Indicates that one entity is the specific spouse (marriage partner) instance of another entity.
  • F. None of above.

Provenance (4 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4a31d081909377044d5ff791b0 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8aecd5081909b38d229904e5bde completed March 10, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69abdd0740208190911dc9c9546a79ae completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:59 p.m.