Triple

T22079503
Position Surface form Disambiguated ID Type / Status
Subject Megalyn Echikunwoke E545610 entity
Predicate notableWork P4 FINISHED
Object Night School 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: Night School | Statement: [Megalyn Echikunwoke, notableWork, Night School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Night School
Context triple: [Megalyn Echikunwoke, notableWork, Night School]
  • A. Night School
    "Night School" is a thriller novel by Lee Child featuring his iconic character Jack Reacher in a prequel set during his military career.
  • B. Night School
    "Night School" is a short story by Raymond Carver, known for its minimalist style and focus on the quiet tensions of ordinary lives.
  • C. Night School chosen
    Night School is a 2018 American comedy film starring Kevin Hart as an adult returning to school to earn his GED, leading to a series of humorous misadventures.
  • D. The Night School
    The Night School is a 17th-century genre painting by Dutch Golden Age artist Gerard Dou, depicting a dimly lit interior scene illuminated by candlelight.
  • E. The Cool Kids
    The Cool Kids is an American television sitcom that follows a group of rebellious senior citizens navigating life, friendship, and aging in a retirement community.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b56d5c8190aa825fe02e3ad917 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:28 p.m.