Triple

T22258273
Position Surface form Disambiguated ID Type / Status
Subject Super E550147 entity
Predicate editor P1954 FINISHED
Object Evan Schiff 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: Evan Schiff | Statement: [Super, editor, Evan Schiff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Schiff
Context triple: [Super, editor, Evan Schiff]
  • A. Evan Schiff chosen
    Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
  • B. Evan Taubenfeld
    Evan Taubenfeld is an American musician, songwriter, and producer best known for his work with Avril Lavigne and contributions to early 2000s pop-punk music.
  • C. Evan Lottman
    Evan Lottman was an American film editor known for his work on notable films of the 1970s and 1980s.
  • D. Evan Ross
    Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
  • E. Evan Dunsky
    Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c4bff48190b4be83f5f7677ac8 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.