Triple

T11105562
Position Surface form Disambiguated ID Type / Status
Subject Blake Lively E262618 entity
Predicate notableWork P4 FINISHED
Object Savages E343699 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: Savages | Statement: [Blake Lively, notableWork, Savages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savages
Context triple: [Blake Lively, notableWork, Savages]
  • A. Savages chosen
    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.
  • B. 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.
  • C. Savages
    Savages are a British post-punk band known for their intense, minimalist sound and powerful live performances.
  • D. The Savages
    The Savages is a 2007 dark comedy-drama film about adult siblings caring for their ailing father, starring Laura Linney and Philip Seymour Hoffman.
  • E. Savages (novel)
    Savages is a crime thriller novel by Don Winslow that follows two marijuana growers in Southern California whose lives spiral into violence when they clash with a powerful Mexican drug cartel.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a64319481909926cebfdd47184d completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d7016908190bb7aadadacb5b50f completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.