Triple

T7791783
Position Surface form Disambiguated ID Type / Status
Subject Jack Warden E180195 entity
Predicate notableWork P4 FINISHED
Object Problem Child E368306 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: Problem Child | Statement: [Jack Warden, notableWork, Problem Child]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Problem Child
Context triple: [Jack Warden, notableWork, Problem Child]
  • A. Problem Child chosen
    Problem Child is a 1990 American comedy film about a mischievous adopted boy who wreaks havoc on his new family, starring John Ritter.
  • B. Problem Child 2
    Problem Child 2 is a 1991 American comedy film and sequel to Problem Child, following the further misadventures of a mischievous adopted boy and his beleaguered father.
  • C. The Spoiled Child
    The Spoiled Child is an 18th-century genre painting by French artist Jean-Baptiste Greuze that exemplifies his sentimental moralizing scenes of domestic life.
  • D. Trouble Child
    "Trouble Child" is a song by Joni Mitchell from her acclaimed 1974 album Court and Spark.
  • E. The Man Child
    The Man Child is a short story by James Baldwin that explores themes of racism, violence, and inheritance in the American South.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae9375dcc8190a6cb696c02aeceb7 completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13cdb4288190ae3cfe1ee4e3e496 completed March 31, 2026, 12:22 a.m.
Created at: March 30, 2026, 4:30 p.m.