Triple

T19859344
Position Surface form Disambiguated ID Type / Status
Subject Let Love In E477214 entity
Predicate featuresBandMember P15278 FINISHED
Object Conway Savage 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: Conway Savage | Statement: [Let Love In, featuresBandMember, Conway Savage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conway Savage
Context triple: [Let Love In, featuresBandMember, Conway Savage]
  • A. Conway Savage chosen
    Conway Savage was an Australian musician and pianist best known for his long-time work with Nick Cave and the Bad Seeds.
  • B. Ben Savage
    Ben Savage is an American actor best known for starring as Cory Matthews on the television series "Boy Meets World."
  • C. Tige Savage
    Tige Savage is an American venture capitalist and entrepreneur best known for co-founding Revolution Ventures alongside Steve Case, investing in early-stage technology and consumer companies.
  • D. Alex Convery
    Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
  • E. Christian Convery
    Christian Convery is a Canadian child actor known for his roles in film and television, including voice work in animated features and a starring role in the series "Sweet Tooth."
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586e8b648190bb650d7f2816dda1 completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.