Triple

T7989859
Position Surface form Disambiguated ID Type / Status
Subject Lowell Ganz E185973 entity
Predicate notableWork P4 FINISHED
Object The Tooth Fairy
The Tooth Fairy is a mythical figure in Western folklore who is said to visit children at night to exchange their lost baby teeth, placed under pillows, for money or small gifts.
 E137190 NE FINISHED

How this triple was built (4 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: The Tooth Fairy | Statement: [Lowell Ganz, notableWork, The Tooth Fairy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Tooth Fairy
Context triple: [Lowell Ganz, notableWork, The Tooth Fairy]
  • A. Tooth Fairy
    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. White Tooth
    White Tooth is the English meaning of the name "Dent Blanche," a prominent mountain in the Pennine Alps of Switzerland.
  • C. The Grouch
    The Grouch is a song by the American punk rock band Green Day, featured on their 1997 album "Nimrod."
  • D. Tinkle Bells
    Tinkle Bells was the original, later-changed title of the classic Christmas song "Silver Bells."
  • E. Wishbone
    Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Tooth Fairy
Triple: [Lowell Ganz, notableWork, The Tooth Fairy]
Generated description
The Tooth Fairy is a mythical figure in Western folklore who is said to visit children at night to exchange their lost baby teeth, placed under pillows, for money or small gifts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Tooth Fairy
Target entity description: The Tooth Fairy is a mythical figure in Western folklore who is said to visit children at night to exchange their lost baby teeth, placed under pillows, for money or small gifts.
  • 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. White Tooth
    White Tooth is the English meaning of the name "Dent Blanche," a prominent mountain in the Pennine Alps of Switzerland.
  • C. The Grouch
    The Grouch is a song by the American punk rock band Green Day, featured on their 1997 album "Nimrod."
  • D. Tinkle Bells
    Tinkle Bells was the original, later-changed title of the classic Christmas song "Silver Bells."
  • E. Wishbone
    Wishbone is a mobile social networking app that lets users compare and vote between two options in quick, image-based polls.
  • F. None of above.

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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:16 p.m.