Triple

T12750035
Position Surface form Disambiguated ID Type / Status
Subject Three Smart Girls E304705 entity
Predicate starring P1507 FINISHED
Object Charles Winninger E223306 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: Charles Winninger | Statement: [Three Smart Girls, starring, Charles Winninger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Winninger
Context triple: [Three Smart Girls, starring, Charles Winninger]
  • A. Charles Winninger chosen
    Charles Winninger was an American character actor best known for his comedic and paternal roles in early 20th-century stage and Hollywood films.
  • B. Joseph Weishaar
    Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
  • C. Mel Winkler
    Mel Winkler was an American character actor best known for his distinctive voice work in video games and animation, as well as supporting roles in film and television.
  • D. James Scheffer
    James Scheffer, better known as Jim Jonsin, is an American record producer and songwriter recognized for crafting hit tracks across hip hop and pop music.
  • E. Robert Michael Winner
    Robert Michael Winner was a British film director and producer best known for his work on action and crime films, including the "Death Wish" series.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd75f508190aaae0969f33d1523 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eb5f4188190a5d014bf68557a96 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:27 p.m.