Triple

T4101280
Position Surface form Disambiguated ID Type / Status
Subject Serenity (2019 film) E87945 entity
Predicate editedBy P1954 FINISHED
Object Laura Jennings E248169 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: Laura Jennings | Statement: [Serenity (2019 film), editedBy, Laura Jennings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Jennings
Context triple: [Serenity (2019 film), editedBy, Laura Jennings]
  • A. Laura Jennings chosen
    Laura Jennings is a film editor best known for her work on major action and science fiction movies, including the Tom Cruise–led blockbuster "Edge of Tomorrow."
  • B. Laura Jarrett
    Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
  • C. Rosemary Woodruff
    Rosemary Woodruff was an American counterculture figure and activist best known for her involvement in the 1960s psychedelic movement alongside Timothy Leary.
  • D. Laura Hughes
    Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
  • E. Laura Lane Welch
    Laura Lane Welch is the birth name of Laura Bush, the former First Lady of the United States and wife of President George W. Bush.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0ed168819093c83ba079d6725c completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b67b9e1b4081909f53466a603d7061 completed March 15, 2026, 9:27 a.m.
Created at: March 9, 2026, 3:40 p.m.