Triple

T8516449
Position Surface form Disambiguated ID Type / Status
Subject Dakota Johnson E201583 entity
Predicate mother P120 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: [Dakota Johnson, mother, Melanie Griffith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melanie Griffith
Context triple: [Dakota Johnson, mother, 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62550908190af882019d68a904a completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc53555c8190b910b3220bd701b4 completed April 2, 2026, 8:06 p.m.
Created at: March 30, 2026, 6:15 p.m.