Triple

T17770637
Position Surface form Disambiguated ID Type / Status
Subject Marylouise Burke E443626 entity
Predicate notableWork P4 FINISHED
Object The Savages NE NERFINISHED

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: The Savages | Statement: [Marylouise Burke, notableWork, The Savages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Savages
Context triple: [Marylouise Burke, notableWork, The Savages]
  • A. The Savages
    The Savages is a 1966 Doctor Who serial from the classic series, featuring the First Doctor and his companion Steven Taylor as they uncover a society built on the exploitation of another race.
  • B. The Savages chosen
    The Savages is a 2007 dark comedy-drama film about adult siblings caring for their ailing father, starring Laura Linney and Philip Seymour Hoffman.
  • C. Savages
    "Savages" is a song by Brazilian DJ and producer Bruno Martini, known for its energetic electronic sound and international reach in the dance music scene.
  • D. Savages
    Savages is a 2012 crime thriller film directed by Oliver Stone, based on Don Winslow’s novel, about two marijuana growers whose lives spiral into violence after they clash with a Mexican drug cartel.
  • E. Savages
    Savages are a British post-punk band known for their intense, minimalist sound and powerful live performances.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485ff928481909fe32260ba57978f completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.