Triple

T14710231
Position Surface form Disambiguated ID Type / Status
Subject Twilight (2008 film) E345528 entity
Predicate screenwriter P2831 FINISHED
Object Melissa Rosenberg E196044 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: Melissa Rosenberg | Statement: [Twilight (2008 film), screenwriter, Melissa Rosenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melissa Rosenberg
Context triple: [Twilight (2008 film), screenwriter, Melissa Rosenberg]
  • A. Melissa Rosenberg chosen
    Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
  • B. Melissa Schuman
    Melissa Schuman is an American singer and actress best known as a member of the girl group Dream and for her roles in early-2000s teen films.
  • C. Melissa Cohen
    Melissa Cohen is a South African-born filmmaker and activist best known as the wife of Hunter Biden, son of U.S. President Joe Biden.
  • D. Melissa Stark
    Melissa Stark is an American television sportscaster best known for her work as a sideline reporter on NFL broadcasts.
  • E. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fffee0ff948190911c02f6e50ea2bc completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:28 a.m.