Triple

T6153032
Position Surface form Disambiguated ID Type / Status
Subject The Wonder Years E137251 entity
Predicate narratedBy P2181 FINISHED
Object Daniel Stern E385774 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: Daniel Stern | Statement: [The Wonder Years, narratedBy, Daniel Stern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Stern
Context triple: [The Wonder Years, narratedBy, Daniel Stern]
  • A. Daniel Stern chosen
    Daniel Stern is an American actor and director best known for his comedic roles in films like "City Slickers" and the "Home Alone" series, as well as for narrating the television show "The Wonder Years."
  • B. Stewart Stern
    Stewart Stern was an American screenwriter best known for writing the screenplay for the iconic 1955 film "Rebel Without a Cause."
  • C. Alan Kirschenbaum
    Alan Kirschenbaum was an American television producer and writer best known for creating and working on several popular sitcoms in the late 20th and early 21st centuries.
  • D. Charles Tannen
    Charles Tannen was an American character actor who appeared in numerous films and television shows from the 1930s through the 1960s.
  • E. Daniel Ullman
    Daniel Ullman was an American screenwriter known for his work on mid-20th-century genre films, particularly Westerns and thrillers.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cfe20408190b5ec9b987e1a4206 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1417c33d08190bd42558cc734601f completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:16 p.m.