Triple

T13787105
Position Surface form Disambiguated ID Type / Status
Subject Gabriel Jagger E331287 entity
Predicate hasRelative P367 FINISHED
Object Marsha Hunt E214588 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: Marsha Hunt | Statement: [Gabriel Jagger, hasRelative, Marsha Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marsha Hunt
Context triple: [Gabriel Jagger, hasRelative, Marsha Hunt]
  • A. Marsha Hunt chosen
    Marsha Hunt is an American actress and activist best known for her work in Hollywood films of the 1930s and 1940s and for her later humanitarian and political engagement.
  • B. Dorothy Shaw
    Dorothy Shaw is the witty, down-to-earth brunette showgirl and best friend of Lorelei Lee in the musical comedy "Gentlemen Prefer Blondes."
  • C. Marsha White
    Marsha White is the central character in the classic The Twilight Zone episode "The After Hours," known for her eerie discovery about her true identity in a deserted department store.
  • D. Marion Marshall
    Marion Marshall was an American film actress who appeared in numerous Hollywood movies from the 1940s through the 1960s.
  • E. Patty Hicks
    Patty Hicks is a film producer known for her work on the animated superhero comedy "DC League of Super-Pets."
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0249e4f88190a80316394940627d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd9498f8848190a170a3d41c9e3a76 completed May 8, 2026, 7:45 a.m.
Created at: April 9, 2026, 10:11 p.m.