Triple

T5577873
Position Surface form Disambiguated ID Type / Status
Subject Mottola E146365 entity
Predicate hasNotableBearer P458 FINISHED
Object Greg Mottola E182718 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: Greg Mottola | Statement: [Mottola, hasNotableBearer, Greg Mottola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Mottola
Context triple: [Mottola, hasNotableBearer, Greg Mottola]
  • A. Gregory Mottola chosen
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • B. Jason Reitman
    Jason Reitman is a Canadian-American filmmaker known for his sharp, character-driven comedies and dramas such as "Juno," "Up in the Air," and "Thank You for Smoking."
  • C. Nicholas Stoller
    Nicholas Stoller is a British-American filmmaker and screenwriter best known for directing and writing popular comedy films such as Forgetting Sarah Marshall and Neighbors.
  • D. Jordan Vogt-Roberts
    Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
  • E. Judd Apatow
    Judd Apatow is an American filmmaker, producer, and writer known for his influential work in modern comedy films and television series such as "The 40-Year-Old Virgin," "Knocked Up," and "Freaks and Geeks."
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206ae4808190971d89243db94475 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d21ac6c81908a07c049d1ab81c6 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:37 p.m.