Triple

T1193373
Position Surface form Disambiguated ID Type / Status
Subject Mark Ciardi E25611 entity
Predicate hasWorkedOn P922 FINISHED
Object Tooth Fairy E137190 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: Tooth Fairy | Statement: [Mark Ciardi, hasWorkedOn, Tooth Fairy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tooth Fairy
Context triple: [Mark Ciardi, hasWorkedOn, Tooth Fairy]
  • A. Tooth Fairy chosen
    The Tooth Fairy is a mythical figure from Western folklore who is said to visit children at night to exchange their lost baby teeth, placed under a pillow, for money or small gifts.
  • B. Easter Bunny
    The Easter Bunny is a folkloric figure and symbol of Easter, typically depicted as a rabbit that brings and hides decorated eggs for children to find.
  • C. Dora Riparia
    Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
  • D. Dora
    Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • E. Rachel the Piggy Bank
    Rachel the Piggy Bank is a life-sized bronze piggy bank sculpture and popular photo spot that serves as the mascot and charitable donation box at Seattle’s Pike Place Market.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd7743548190a70d3f3c7378aaa7 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f36371c8190a656463a9ae6402a completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.