Triple

T6296389
Position Surface form Disambiguated ID Type / Status
Subject Don Johnson E141141 entity
Predicate spouse P13 FINISHED
Object Melanie Griffith E344159 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: Melanie Griffith | Statement: [Don Johnson, spouse, Melanie Griffith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melanie Griffith
Context triple: [Don Johnson, spouse, Melanie Griffith]
  • A. Melanie Griffith chosen
    Melanie Griffith is an American actress known for her roles in films such as "Working Girl" and "Something Wild," and as a prominent figure in Hollywood since the 1970s.
  • B. Liv Tyler
    Liv Tyler is an American actress and former model best known for her role as the elf Arwen in Peter Jackson’s The Lord of the Rings film trilogy.
  • C. Demi Moore
    Demi Moore is an American actress and film producer known for her leading roles in hit films of the 1980s and 1990s such as "Ghost," "A Few Good Men," and "G.I. Jane."
  • D. Jami Gertz
    Jami Gertz is an American actress known for her roles in 1980s films and television series, including standout performances in movies like "The Lost Boys" and "Quicksilver."
  • E. Jennifer Grey
    Jennifer Grey is an American actress best known for her roles in the 1980s films "Dirty Dancing" and "Ferris Bueller's Day Off."
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5198e2c1c81909d39adffbdadcbdf completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.