Triple

T20664548
Position Surface form Disambiguated ID Type / Status
Subject The Land Before Time E507850 entity
Predicate producer P490 FINISHED
Object George Lucas NE NERFINISHED

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: [The Land Before Time, producer, George Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Lucas
Context triple: [The Land Before Time, producer, 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. Georges Lucas
    Georges Lucas was a cinematographer active in early 20th-century cinema, notably working on the 1928 film adaptation of "The Fall of the House of Usher."
  • C. 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.
  • D. Mike Reiss
    Mike Reiss is an American television writer and producer best known for his long-running work on the animated series "The Simpsons."
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f541bc8190ac7946b91647f2b0 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:44 a.m.