Triple

T2665229
Position Surface form Disambiguated ID Type / Status
Subject Cedar Rapids E55618 entity
Predicate writer P1360 FINISHED
Object Phil Johnston E247265 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: Phil Johnston | Statement: [Cedar Rapids, writer, Phil Johnston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Johnston
Context triple: [Cedar Rapids, writer, Phil Johnston]
  • A. Phil Johnston chosen
    Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
  • B. Jack Briggs
    Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
  • C. Ed Vargo
    Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
  • D. Rob Tapert
    Rob Tapert is an American film and television producer best known for co-creating and producing genre series like Xena: Warrior Princess and Spartacus, as well as collaborating frequently with director Sam Raimi on horror and fantasy projects.
  • E. Al McWhiggin
    Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96ed2748190a4feae98199b459d completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69b203287b48819080791588c7f7f5ab completed March 12, 2026, 12:04 a.m.
Created at: March 6, 2026, 9:54 p.m.