Triple

T16686783
Position Surface form Disambiguated ID Type / Status
Subject Lainie Kazan E405481 entity
Predicate notableWork P4 FINISHED
Object Harry and the Hendersons E371107 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: Harry and the Hendersons | Statement: [Lainie Kazan, notableWork, Harry and the Hendersons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry and the Hendersons
Context triple: [Lainie Kazan, notableWork, Harry and the Hendersons]
  • A. Harry and the Hendersons chosen
    Harry and the Hendersons is a 1987 family comedy film about a suburban family that befriends a gentle Sasquatch, with John Lithgow starring as the father.
  • B. Clyde & Harry
    Clyde & Harry is a music production duo known for crafting beats and soundscapes for hip-hop and underground rap artists.
  • C. Melvin and Howard
    Melvin and Howard is a 1980 American comedy-drama film, directed by Jonathan Demme, that fictionalizes the story of a gas-station attendant who allegedly befriends billionaire Howard Hughes and later claims to inherit part of his fortune.
  • D. Young Ones
    Young Ones is a film for which composer Nathan Johnson created the musical score.
  • E. Happy Haines
    Happy Haines is a fictional character portrayed by actor Allan "Ladd" See, best known from his work in mid-20th-century American film and television.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea63b7081908a055036172f9683 completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a43f6a08190913ca123a2377f95 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.