Triple

T3643733
Position Surface form Disambiguated ID Type / Status
Subject Brennan Huff E77248 entity
Predicate mother P120 FINISHED
Object Nancy Huff E391227 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: Nancy Huff | Statement: [Brennan Huff, mother, Nancy Huff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Huff
Context triple: [Brennan Huff, mother, Nancy Huff]
  • A. Nancy Huff chosen
    Nancy Huff is a fictional character from the comedy film "Step Brothers," known as the mother of Brennan Huff.
  • B. Lori Petty
    Lori Petty is an American actress best known for her energetic roles in films like "Point Break," "Tank Girl," and the baseball classic "A League of Their Own."
  • C. Nancy Walker
    Nancy Walker was an American actress and comedian best known for her sharp-tongued character roles in film, television, and Broadway musicals.
  • D. Elizabeth Irene Mitchell
    Elizabeth Irene Mitchell is the birth name of Elizabeth Banks, an American actress, director, and producer known for roles in films such as "The Hunger Games" series and "Pitch Perfect."
  • E. Glenne Headly
    Glenne Headly was an American actress known for her versatile film, television, and stage performances, including prominent roles in comedies and dramas from the 1980s onward.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35c28908190b253f4835918a2b4 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503df6c708190b8adf4afcadde20c completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:24 p.m.