Triple

T20513017
Position Surface form Disambiguated ID Type / Status
Subject A Date with Judy E503610 entity
Predicate starring P1507 FINISHED
Object Scotty Beckett 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: Scotty Beckett | Statement: [A Date with Judy, starring, Scotty Beckett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scotty Beckett
Context triple: [A Date with Judy, starring, Scotty Beckett]
  • A. Scotty Beckett chosen
    Scotty Beckett was an American child actor best known for his roles in the "Our Gang" (Little Rascals) comedies and numerous films of the 1930s and 1940s.
  • B. Scotty Emerick
    Scotty Emerick is an American country music singer-songwriter best known for his frequent songwriting collaborations with Toby Keith.
  • C. Scotty
    Scotty is the nickname of Scotty Bowman, the legendary National Hockey League coach widely regarded as one of the greatest in the sport’s history.
  • D. Scotty
    Scotty is the iconic Scottish Terrier game piece from the classic board game Monopoly.
  • E. Scotty
    Scotty is the beloved chief engineer of the starship Enterprise in the Star Trek franchise, renowned for his technical genius and memorable catchphrases.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dcd74c48190b050e25c20154c09 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:36 a.m.