Triple

T14479589
Position Surface form Disambiguated ID Type / Status
Subject Little Fockers E359063 entity
Predicate character P662 FINISHED
Object Greg Focker E1057059 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 Focker | Statement: [Little Fockers, character, Greg Focker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Focker
Context triple: [Little Fockers, character, Greg Focker]
  • A. Greg Focker chosen
    Greg Focker is the anxious, well-meaning male nurse protagonist who endures a series of humiliating mishaps while trying to win over his girlfriend’s disapproving family in the comedy film "Meet the Parents."
  • B. Sid Jacobson
    Sid Jacobson is an American writer and comics editor best known for his work in graphic novels and nonfiction comics, often in collaboration with artist Ernie Colón.
  • C. Jason Mewes
    Jason Mewes is an American actor and comedian best known for playing the talkative stoner Jay in Kevin Smith’s View Askewniverse films.
  • D. Rob Schneider
    Rob Schneider is an American actor and comedian known for his roles in numerous Adam Sandler films and other broad Hollywood comedies.
  • E. Jesse Lee Soffer
    Jesse Lee Soffer is an American actor best known for playing Detective Jay Halstead on the television series "Chicago P.D."
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924a576c819098351efabdb779b1 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a257488190818c65c1cc84c4b5 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.