Triple

T12893264
Position Surface form Disambiguated ID Type / Status
Subject David Moscow as young Josh Baskin E308421 entity
Predicate creditedActor P66001 FINISHED
Object David Moscow E1007940 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: David Moscow | Statement: [David Moscow as young Josh Baskin, creditedActor, David Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Moscow
Context triple: [David Moscow as young Josh Baskin, creditedActor, David Moscow]
  • A. David Moscow chosen
    David Moscow is an American actor best known for playing the young version of Tom Hanks’s character Josh Baskin in the 1988 film "Big."
  • B. Vladimir Koren
    Vladimir Koren was a designer best known for creating the iconic state emblem of the Soviet Union.
  • C. Mark Naimark
    Mark Naimark was a Soviet mathematician known for his influential work in functional analysis and operator algebras.
  • D. Alec Miloslavsky
    Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
  • E. Moris Slobodskoy
    Moris Slobodskoy was a Soviet screenwriter best known for co-writing the classic 1969 comedy film "The Diamond Arm."
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971484aa08190a8adfafabe600903 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af57a8b88190a3f15a3e9e02d492 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:40 p.m.