Triple

T3249156
Position Surface form Disambiguated ID Type / Status
Subject Mulan (1998 film) E68134 entity
Predicate lyricist P1360 FINISHED
Object David Zippel E252694 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: David Zippel | Statement: [Mulan (1998 film), lyricist, David Zippel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Zippel
Context triple: [Mulan (1998 film), lyricist, David Zippel]
  • A. David Zippel chosen
    David Zippel is an American lyricist known for his work on Broadway musicals and animated films, including contributions to productions like "City of Angels" and Disney's "Hercules."
  • B. Phil Zimmermann
    Phil Zimmermann is an American cryptographer best known as the creator of Pretty Good Privacy (PGP), a widely used email encryption software that helped popularize strong cryptography for the public.
  • C. Michael Lehmann
    Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
  • D. Dexter Kozen
    Dexter Kozen is an American theoretical computer scientist known for his influential work in logic in computer science, automata theory, and the semantics of programming languages.
  • E. Oren Patashnik
    Oren Patashnik is a computer scientist best known for coauthoring the influential textbook "Concrete Mathematics" and for creating the BibTeX reference management tool used with LaTeX.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776934108190ac405ba5ebd47084 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:09 p.m.