Triple

T8619957
Position Surface form Disambiguated ID Type / Status
Subject Marcia Griffin E204137 entity
Predicate spouse P13 FINISHED
Object George Lucas E6364 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: George Lucas | Statement: [Marcia Griffin, spouse, George Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Lucas
Context triple: [Marcia Griffin, spouse, George Lucas]
  • A. George Lucas chosen
    George Lucas is an American filmmaker and entrepreneur best known as the creator of the Star Wars and Indiana Jones franchises and the founder of Lucasfilm.
  • B. Gary Kurtz
    Gary Kurtz was an American film producer best known for his work on landmark films of the 1970s and 1980s, including the original Star Wars and The Empire Strikes Back.
  • C. Oren Peli
    Oren Peli is an Israeli-American filmmaker best known as the creator of the "Paranormal Activity" franchise and a producer of numerous successful horror films.
  • D. Irvin Kershner
    Irvin Kershner was an American film director best known for helming major genre films such as "The Empire Strikes Back" and other high-profile Hollywood productions.
  • E. Richard Edlund
    Richard Edlund is an acclaimed American visual effects artist and cinematographer renowned for his groundbreaking work on films such as the original Star Wars trilogy and Ghostbusters.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc471458f48190a6d8858f8074727d completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb84a6988190ba6852f72c8918ca completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:26 p.m.