Triple

T5972424
Position Surface form Disambiguated ID Type / Status
Subject Steve Zahn E132905 entity
Predicate notableWork P4 FINISHED
Object Saving Silverman E318516 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: Saving Silverman | Statement: [Steve Zahn, notableWork, Saving Silverman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saving Silverman
Context triple: [Steve Zahn, notableWork, Saving Silverman]
  • A. Saving Silverman chosen
    Saving Silverman is a 2001 slapstick romantic comedy film about two friends who scheme to break up their buddy’s toxic engagement to reunite him with his high school sweetheart.
  • B. Save the Night
    "Save the Night" is a song by John Legend from his R&B album "Love in the Future."
  • C. Nightmare in Silver
    "Nightmare in Silver" is a 2013 Doctor Who episode written by Neil Gaiman that features the Eleventh Doctor facing an upgraded and more terrifying version of the Cybermen in a futuristic theme park.
  • D. Stay Gold
    Stay Gold is a studio album by American singer-songwriter and producer Butch Walker, known for its nostalgic rock sound and reflective storytelling.
  • E. Free Spirit Silver
    Free Spirit Silver is a mid-tier status level in the Free Spirit loyalty program that offers members enhanced travel benefits and rewards.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a00c3588190b335d7d3341b6d68 completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e40fa2488190b82d604d51b73090 completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:03 p.m.