Triple

T13977603
Position Surface form Disambiguated ID Type / Status
Subject Joseph Mazzello E336226 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: [Joseph Mazzello, notableWork, Radio Flyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radio Flyer
Context triple: [Joseph Mazzello, 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. Radio Flyer wagon
    The Radio Flyer wagon is a classic red children's pull wagon known for its durable metal construction and iconic status in American childhood play.
  • C. Tonka
    Tonka is a 1958 Walt Disney Western film about a young Sioux boy and his horse, set around the events of the Battle of the Little Bighorn.
  • D. 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.
  • E. 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.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e9fc7248190a9f26e253286ac3c completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e3cafc8190a1806a29b2e46ae9 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.