Triple

T3112273
Position Surface form Disambiguated ID Type / Status
Subject Ant-Man and the Wasp E64977 entity
Predicate screenwriter P2831 FINISHED
Object Paul Rudd E147055 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: Paul Rudd | Statement: [Ant-Man and the Wasp, screenwriter, Paul Rudd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Rudd
Context triple: [Ant-Man and the Wasp, screenwriter, Paul Rudd]
  • A. Paul Rudd chosen
    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.
  • B. Luke Wilson
    Luke Wilson is an American actor known for his roles in films such as "The Royal Tenenbaums," "Old School," and "Legally Blonde."
  • C. Owen Wilson
    Owen Wilson is an American actor and screenwriter known for his laid-back charm and roles in popular comedies and adventure films such as "Wedding Crashers," "Zoolander," and "Midnight in Paris."
  • D. Rob McElhenney
    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."
  • E. Ed Helms
    Ed Helms is an American actor and comedian best known for his roles in the TV series "The Office" and "The Daily Show," as well as "The Hangover" film trilogy.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43b0b3c8190a828c9cfcf730ed9 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e817b0d881909365a6bf5eb5104b completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:04 p.m.