Triple

T9519033
Position Surface form Disambiguated ID Type / Status
Subject Paris-Michael Katherine Jackson E229599 entity
Predicate notableWork P4 FINISHED
Object Wilted E606091 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: Wilted | Statement: [Paris-Michael Katherine Jackson, notableWork, Wilted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilted
Context triple: [Paris-Michael Katherine Jackson, notableWork, Wilted]
  • A. Wilted chosen
    "Wilted" is the debut studio album by American singer-songwriter Paris Jackson, blending folk, alternative, and indie influences with introspective, melancholic themes.
  • B. Withering
    Withering is a surname most notably associated with William Withering, the 18th-century English physician and botanist who pioneered the medical use of digitalis from the foxglove plant.
  • C. Jaded
    "Jaded" is a novel by Lucy Hawking, known for its blend of sharp social observation and contemporary themes.
  • D. Jaded
    "Jaded" is a song by the American rock band Insomniac.
  • E. Faded Leaves
    Faded Leaves is a literary work by American writer and wit Thomas Gold Appleton, reflecting his characteristic blend of cultured observation and gentle humor.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a51292c8190b871509a32897251 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.