Triple

T5350091
Position Surface form Disambiguated ID Type / Status
Subject Speak Like a Child E124153 entity
Predicate hasTrack P3284 FINISHED
Object Toys E184601 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: Toys | Statement: [Speak Like a Child, hasTrack, Toys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toys
Context triple: [Speak Like a Child, hasTrack, Toys]
  • A. Toys chosen
    Toys is a 1992 fantasy comedy film directed by Barry Levinson, known for its whimsical visual style and satirical take on the military-industrial complex.
  • B. Tinker Toy
    Tinker Toy is the nickname of the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • C. Brick
    Brick is a 2005 neo-noir mystery film set in a high school, written and directed by Rian Johnson and featuring Lukas Haas in a prominent role.
  • D. Toy Soldiers
    "Toy Soldiers" is a 1991 action thriller film about prep school students who fight back against terrorists who have taken their school hostage.
  • E. The Toy
    The Toy is a 1982 comedy film starring Richard Pryor as a man hired by a wealthy businessman to be a spoiled rich child's "live" plaything, exploring themes of race, class, and exploitation through slapstick humor.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860fe4048190846a933d0e1b9386 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21d0d4d08190a33c86553d2012fa completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.