Triple

T21993360
Position Surface form Disambiguated ID Type / Status
Subject Ellis Jones E543142 entity
Predicate createdBy P806 FINISHED
Object Salvador Paskowitz 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: Salvador Paskowitz | Statement: [Ellis Jones, createdBy, Salvador Paskowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salvador Paskowitz
Context triple: [Ellis Jones, createdBy, Salvador Paskowitz]
  • A. Salvador Paskowitz chosen
    Salvador Paskowitz is an American screenwriter best known for co-writing the romantic fantasy film "The Age of Adaline."
  • B. Abraham Paskowitz
    Abraham Paskowitz is a filmmaker and entrepreneur best known for creating the mobile video-sharing app Socialcam.
  • C. Michael Waldstein
    Michael Waldstein is a Catholic theologian and scholar best known for his authoritative English translation and commentary on Pope John Paul II’s Theology of the Body.
  • D. Joseph Schindelman
    Joseph Schindelman was an American illustrator best known for creating the original U.S. edition illustrations for Roald Dahl’s classic children’s novel "Charlie and the Chocolate Factory."
  • E. Pandro S. Berman
    Pandro S. Berman was a prominent American film producer of Hollywood’s classic era, known for overseeing numerous successful MGM and RKO pictures.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1270f77fc8190aadcc02760d65ac0 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:17 p.m.