Triple

T7731579
Position Surface form Disambiguated ID Type / Status
Subject Gilbert Stork E175270 entity
Predicate familyName P18 FINISHED
Object Stork E142000 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: Stork | Statement: [Gilbert Stork, familyName, Stork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stork
Context triple: [Gilbert Stork, familyName, Stork]
  • A. Stork chosen
    The stork is a large, long-legged wading bird known for its migratory behavior and cultural associations with delivering babies in European folklore.
  • B. Storks
    Storks is an animated comedy film that humorously reimagines the traditional baby-delivering birds as modern package couriers whose routine is disrupted by the arrival of an unexpected infant.
  • C. Tin Goose
    Tin Goose is the popular nickname for the Ford Trimotor, an early all-metal American passenger and cargo aircraft widely used in the late 1920s and early 1930s.
  • D. Pidgeon
    Pidgeon is a surname most notably associated with Canadian-American actor Walter Pidgeon, a prominent film star of Hollywood’s classic era.
  • E. Sam the Eagle
    Sam the Eagle is a stern, patriotic blue Muppet known for his serious demeanor and attempts to uphold high moral and cultural standards amid the chaos of the other characters.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70336aafc819099a060950ab8922f completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b531a7f481908e4ff7f15b851070 completed March 29, 2026, 5:14 a.m.
Created at: March 27, 2026, 4:06 p.m.