Triple

T7162796
Position Surface form Disambiguated ID Type / Status
Subject Lauren Shuler Donner E166986 entity
Predicate notableWork P4 FINISHED
Object Radio Flyer E261210 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: Radio Flyer | Statement: [Lauren Shuler Donner, notableWork, Radio Flyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radio Flyer
Context triple: [Lauren Shuler Donner, notableWork, Radio Flyer]
  • A. Radio Flyer chosen
    Radio Flyer is a 1992 American drama-fantasy film about two young brothers who escape their troubled home life through imagination, starring Elijah Wood.
  • 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. The Dinky
    The Dinky is a short commuter rail shuttle service that connects Princeton University to the nearby Princeton Junction station on New Jersey Transit's Northeast Corridor line.
  • D. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • E. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82feee481908fa180ea8c9924fa completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adc4b7648190969fab0351f9fd22 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.