Triple

T15996096
Position Surface form Disambiguated ID Type / Status
Subject Griffin Dunne E387968 entity
Predicate notableWork P4 FINISHED
Object Addicted to Love E604860 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: Addicted to Love | Statement: [Griffin Dunne, notableWork, Addicted to Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Addicted to Love
Context triple: [Griffin Dunne, notableWork, Addicted to Love]
  • A. Addicted to Love chosen
    Addicted to Love is a 1997 romantic comedy film in which Matthew Broderick plays a jilted lover who teams up with another scorned ex to spy on and sabotage their former partners’ new relationship.
  • B. Burning Love
    "Burning Love" is a high-energy rock and roll song popularized by Elvis Presley and regarded as one of his last major hits.
  • C. Make Love to Me
    "Make Love to Me" is a popular 1954 traditional pop song best known for being a major hit recording by American singer Jo Stafford.
  • D. Got to Have Your Love
    "Got to Have Your Love" is a pop/R&B single by British group Liberty X, known for its smooth production and catchy, melodic chorus.
  • E. Stuck in Love
    Stuck in Love is a 2012 romantic comedy-drama film that follows a dysfunctional family of writers as they navigate love, heartbreak, and reconciliation over the course of a year.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1578709608190bae7bafa59280849 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d79dec8190b02e003f93e5dad6 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.