Triple

T10368141
Position Surface form Disambiguated ID Type / Status
Subject Bad Santa E244308 entity
Predicate producer P490 FINISHED
Object Sarah Aubrey E407080 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: Sarah Aubrey | Statement: [Bad Santa, producer, Sarah Aubrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Aubrey
Context triple: [Bad Santa, producer, Sarah Aubrey]
  • A. Sarah Aubrey chosen
    Sarah Aubrey is an American television and film producer known for her work on major studio projects and for holding senior executive roles at networks such as TNT and HBO Max.
  • B. Abigail Davenport
    Abigail Davenport was the wife of American composer and Jingle Bells author James Pierpont, known primarily through this marital connection.
  • C. Sarah Allerton
    Sarah Allerton was an early 17th-century Englishwoman known primarily as the wife of Mayflower passenger Degory Priest and a member of the broader Pilgrim community.
  • D. Sarah Allerton
    Sarah Allerton was a passenger on the Mayflower and one of the early English settlers in Plymouth Colony.
  • E. Emily St. Aubert
    Emily St. Aubert is the virtuous, sensitive young heroine of Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho," known for her resilience amid terror, loss, and romantic trials.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb8e96e081908282bb0f82719abe completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:01 p.m.