Triple

T20140998
Position Surface form Disambiguated ID Type / Status
Subject Yes, God, Yes E491163 entity
Predicate starring P1507 FINISHED
Object Timothy Simons 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: Timothy Simons | Statement: [Yes, God, Yes, starring, Timothy Simons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy Simons
Context triple: [Yes, God, Yes, starring, 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. Mark Brinkley
    Mark Brinkley is a British writer and self-build expert best known for his practical guides on house construction and renovation.
  • E. Craig Thomas
    Craig Thomas is an American television writer and producer best known for co-creating the hit sitcom "How I Met Your Mother."
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679b179c8190a9511df8ed82098a completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.