Triple

T3287146
Position Surface form Disambiguated ID Type / Status
Subject Frank Oz E69009 entity
Predicate name P16 FINISHED
Object Frank Oz E69009 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: Frank Oz | Statement: [Frank Oz, name, Frank Oz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Oz
Context triple: [Frank Oz, name, Frank Oz]
  • A. Frank Oz chosen
    Frank Oz is an acclaimed puppeteer, actor, and filmmaker best known for performing iconic Muppet characters and voicing Yoda in the Star Wars franchise.
  • B. Jim Henson
    Jim Henson was an American puppeteer, filmmaker, and creator of the Muppets, best known for his pioneering work on "The Muppet Show" and "Sesame Street."
  • C. Rick Jaffa
    Rick Jaffa is an American screenwriter and producer best known for co-writing major science fiction and adventure films such as the rebooted Planet of the Apes series and Jurassic World.
  • D. Ron Nyswaner
    Ron Nyswaner is an American screenwriter and producer best known for writing the acclaimed film "Philadelphia" and for his work on socially conscious dramas in both film and television.
  • E. Michael Burger
    Michael Burger is a legal scholar and environmental law expert known for his leadership in advancing climate change law and policy.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85f71508190b194b4d383d7ee32 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.