Triple

T3422370
Position Surface form Disambiguated ID Type / Status
Subject The Misfits E72142 entity
Predicate editor P1954 FINISHED
Object George Tomasini E255043 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: George Tomasini | Statement: [The Misfits, editor, George Tomasini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Tomasini
Context triple: [The Misfits, editor, George Tomasini]
  • A. George Tomasini chosen
    George Tomasini was an American film editor best known for his frequent collaborations with director Alfred Hitchcock on classics such as "Psycho," "Vertigo," and "Rear Window."
  • B. William Botti
    William Botti is a video game industry figure best known as a co-founder of the game development studio Treyarch.
  • C. Paul Piana
    Paul Piana is an American rock climber best known for pioneering the first free ascent of El Capitan’s Salathé Wall in Yosemite, a landmark achievement in big-wall free climbing.
  • D. George Memmoli
    George Memmoli was an American character actor known for his supporting roles in films of the 1970s and 1980s, including collaborations with director Martin Scorsese.
  • E. Victor Varconi
    Victor Varconi was a Hungarian-born actor who became a prominent leading man in silent and early sound films in both Europe and Hollywood.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb95223e081908b2954769d2f46c8 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bb30b708190ab06280feea59eaf completed March 13, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:15 p.m.