Triple

T20136918
Position Surface form Disambiguated ID Type / Status
Subject Where the Sidewalk Ends: Poems and Drawings E491046 entity
Predicate hasPoem P21160 FINISHED
Object Sick NE NERFINISHED

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: Sick | Statement: [Where the Sidewalk Ends: Poems and Drawings, hasPoem, Sick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sick
Context triple: [Where the Sidewalk Ends: Poems and Drawings, hasPoem, Sick]
  • A. Sick chosen
    "Sick" is a humorous Shel Silverstein poem in which a child invents exaggerated ailments to avoid going to school, only to instantly recover when told it's Saturday.
  • B. So Sick
    "So Sick" is a popular R&B song by Ne-Yo, known for its melancholic theme of heartbreak and its success as one of his breakthrough hits.
  • C. Krank
    Krank is the sinister, child-stealing scientist who serves as the primary antagonist in the dark fantasy film "The City of Lost Children."
  • D. Health of the sick
    "Health of the sick" is a Marian title in Catholic devotion that invokes the Virgin Mary as a compassionate intercessor and source of comfort and healing for the ill.
  • E. Love Sick
    "Love Sick" is a song by Bob Dylan, best known as the haunting, blues-infused opening track of his 1997 album *Time Out of Mind*.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66767ba3881909c2bcb74a986bd29 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.