Triple

T13993487
Position Surface form Disambiguated ID Type / Status
Subject 7 E336637 entity
Predicate leadSingle P15292 FINISHED
Object Addicted E978217 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 | Statement: [7, leadSingle, Addicted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Addicted
Context triple: [7, leadSingle, Addicted]
  • A. Addicted
    Addicted is a 2014 erotic thriller film about a successful businesswoman whose secret sex addiction threatens her seemingly perfect life and family.
  • B. Addicted chosen
    "Addicted" is a popular dancehall track by Jamaican artist Popcaan, known for its melodic style and themes of love and desire.
  • C. Addicted to You
    "Addicted to You" is a dance-pop song by Colombian singer Shakira from her album "Sale el Sol," known for its catchy rhythm and Latin influences.
  • D. The Addiction
    The Addiction is a 1995 black-and-white philosophical horror film directed by Abel Ferrara that explores vampirism as a metaphor for drug dependency and existential guilt.
  • E. The Addict
    "The Addict" is a confessional poem by Anne Sexton that starkly explores dependency, self-destruction, and psychological turmoil.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9a7e8c8190a0fd0cd67ff50741 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.