Triple

T14660382
Position Surface form Disambiguated ID Type / Status
Subject Lose You to Love Me E344220 entity
Predicate album P1995 FINISHED
Object Rare E553468 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: Rare | Statement: [Lose You to Love Me, album, Rare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rare
Context triple: [Lose You to Love Me, album, Rare]
  • A. Rare
    Rare is a renowned British video game developer known for creating influential titles such as Donkey Kong Country, GoldenEye 007, Banjo-Kazooie, and Sea of Thieves.
  • B. Rare chosen
    Rare is Selena Gomez's third studio album, a pop record known for its themes of self-acceptance and emotional resilience.
  • C. Rare Junk
    Rare Junk is an album produced by William E. McEuen, known for its eclectic blend of folk, country, and experimental sounds.
  • D. Special
    "Special" is an R&B/soul song by American singer Dwele, recognized as one of his standout tracks.
  • E. RAR
    RAR is the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51c84448190a1f5fa9ab8a1e2c4 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e28f848190a3d686bc11336601 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.