Triple

T15594303
Position Surface form Disambiguated ID Type / Status
Subject That’s How Things Go Down E374835 entity
Predicate performer P1363 FINISHED
Object Fantasy E536282 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: Fantasy | Statement: [That’s How Things Go Down, performer, Fantasy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fantasy
Context triple: [That’s How Things Go Down, performer, Fantasy]
  • A. Fantasy
    "Fantasy" is a 1973 studio album by American singer-songwriter Carole King that blends pop, soul, and jazz influences and is noted for its conceptual, suite-like structure.
  • B. Fantasy chosen
    "Fantasy" is a popular song by Mariah Carey, known for its catchy hook and prominent sampling of Tom Tom Club’s "Genius of Love."
  • C. Fantazy
    Fantazy is a Romantic drama by Polish poet and playwright Juliusz Słowacki, known for its blend of poetic language, irony, and reflection on the Polish nobility.
  • D. Fantasy Masterworks
    Fantasy Masterworks is a curated series of classic and influential fantasy novels, republished to highlight landmark works in the genre.
  • E. Fantasy Kingdom
    Fantasy Kingdom is a whimsical, family-oriented themed area in the Gardaland amusement park featuring fairy-tale settings, playful attractions, and imaginative scenery.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c7db58819089cb488fb3ea96cd completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.