Triple

T15599577
Position Surface form Disambiguated ID Type / Status
Subject Whoville E374994 entity
Predicate hasFictionalResident P7550 FINISHED
Object Cindy Lou Who E391805 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: Cindy Lou Who | Statement: [Whoville, hasFictionalResident, Cindy Lou Who]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy Lou Who
Context triple: [Whoville, hasFictionalResident, Cindy Lou Who]
  • A. Cindy Lou Who chosen
    Cindy Lou Who is the kind-hearted little girl from Dr. Seuss's "How the Grinch Stole Christmas!" whose innocence and compassion help transform the Grinch.
  • B. Dorothy Vallens
    Dorothy Vallens is a troubled nightclub singer at the center of the dark, surreal mystery in David Lynch's film "Blue Velvet."
  • C. Minnie Fay
    Minnie Fay is a young, naive shop assistant and comic supporting character in Thornton Wilder’s play "The Matchmaker," later popularized in the musical "Hello, Dolly!".
  • D. Winnie Cooper
    Winnie Cooper is a central coming-of-age character in the nostalgic TV series "The Wonder Years," known as Kevin Arnold’s childhood friend and love interest.
  • E. Minnie
    Minnie is the nickname of Aminda "Minnie" Badeau, likely used as her familiar or preferred given name.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e621fc4819097e8e85e7ddfdc6c completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ccc40c8190a3b1339404e6897f completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.