Triple

T12522549
Position Surface form Disambiguated ID Type / Status
Subject Follow Thru E299353 entity
Predicate director P255 FINISHED
Object Lloyd Corrigan E432643 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: Lloyd Corrigan | Statement: [Follow Thru, director, Lloyd Corrigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lloyd Corrigan
Context triple: [Follow Thru, director, Lloyd Corrigan]
  • A. Lloyd Corrigan chosen
    Lloyd Corrigan was an American actor, screenwriter, and film director active in Hollywood from the silent era through the mid-20th century.
  • B. David Loughery
    David Loughery is an American screenwriter and producer known for writing thrillers and genre films such as "Passenger 57," "Lakeview Terrace," and "Obsessed."
  • C. Michael McHugh
    Michael McHugh is a former Justice of the High Court of Australia known for his influential contributions to Australian constitutional and common law jurisprudence.
  • D. Al McWhiggin
    Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
  • E. Stephen McFeely
    Stephen McFeely is an American screenwriter best known for co-writing several major Marvel Cinematic Universe films, including the Captain America trilogy and Avengers: Infinity War and Endgame.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545c2aa081908e8a5a94d30e23eb completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718cd6288190ad080f469f334caf completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 9:57 p.m.