Triple

T15636718
Position Surface form Disambiguated ID Type / Status
Subject Christine (2016 film) E375963 entity
Predicate starredActor P5563 FINISHED
Object Timothy Simons E257167 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: Timothy Simons | Statement: [Christine (2016 film), starredActor, Timothy Simons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy Simons
Context triple: [Christine (2016 film), starredActor, Timothy Simons]
  • A. Timothy Simons chosen
    Timothy Simons is an American actor and comedian best known for his Emmy-nominated role as Jonah Ryan on the HBO political satire series "Veep."
  • B. Ed Sims
    Ed Sims is a business executive best known for serving as the president and CEO of WestJet Airlines.
  • C. Michael Shrieve
    Michael Shrieve is an American drummer and percussionist best known for his work with Santana, including his iconic performance at Woodstock and contributions to their classic early albums.
  • D. Craig Thomas
    Craig Thomas is an American television writer and producer best known for co-creating the hit sitcom "How I Met Your Mother."
  • E. Chris Ridenhour
    Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eba51f08190ac5d9de7fc89405a completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678ebe288190bd43a72e99e7aa22 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:14 a.m.