Triple

T14624437
Position Surface form Disambiguated ID Type / Status
Subject Sway E343307 entity
Predicate hasPart P35 FINISHED
Object Hard Candy E426525 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: Hard Candy | Statement: [Sway, hasPart, Hard Candy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hard Candy
Context triple: [Sway, hasPart, Hard Candy]
  • A. Hard Candy
    Hard Candy is a pop and R&B studio album by Madonna, known for its dance-oriented sound and collaborations with producers like Timbaland and Pharrell Williams.
  • B. Hard Candy chosen
    Hard Candy is a 2002 studio album by American rock band Counting Crows, noted for its polished pop-rock sound and melodic, radio-friendly songs.
  • C. Hard Candy
    Hard Candy is a 2005 psychological thriller film in which Elliot Page delivers a breakout performance as a teenage girl confronting a suspected sexual predator.
  • D. Sweet Candy
    Sweet Candy is a track from AC/DC's 2014 hard rock album "Rock or Bust."
  • E. Acid Candy
    Acid Candy is a vivid, hyper-stylized photographic series by British fashion photographer Miles Aldridge, known for its saturated colors and surreal, cinematic depictions of women and domestic scenes.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92a6b9c8190bdb220444cfbe34a completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.