Triple

T3586542
Position Surface form Disambiguated ID Type / Status
Subject Charles Peckham Day E75921 entity
Predicate workedWith P398 FINISHED
Object Rob McElhenney E76089 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: Rob McElhenney | Statement: [Charles Peckham Day, workedWith, Rob McElhenney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rob McElhenney
Context triple: [Charles Peckham Day, workedWith, Rob McElhenney]
  • A. Rob McElhenney chosen
    Rob McElhenney is an American actor, writer, and producer best known for co-creating and starring as Mac on the long-running sitcom "It's Always Sunny in Philadelphia."
  • B. Simon Helberg
    Simon Helberg is an American actor and comedian best known for playing aerospace engineer Howard Wolowitz on the hit sitcom "The Big Bang Theory."
  • C. Joel McHale
    Joel McHale is an American actor, comedian, and television host best known for leading the satirical series "The Soup" and starring on the sitcom "Community."
  • D. Paul Rudd
    Paul Rudd is an American actor and comedian best known for his charming, affable roles in films like Clueless, Anchorman, and as the title superhero in Marvel’s Ant-Man series.
  • E. Luke Wilson
    Luke Wilson is an American actor known for his roles in films such as "The Royal Tenenbaums," "Old School," and "Legally Blonde."
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc137eb708190809cd52b6deb227c completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4882803e481908bc716c8beda3c73 completed March 13, 2026, 9:56 p.m.
Created at: March 8, 2026, 3:22 p.m.