Triple

T6253853
Position Surface form Disambiguated ID Type / Status
Subject Amanda Ghost E140111 entity
Predicate coWroteSong P20008 FINISHED
Object Tattoo E268388 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: Tattoo | Statement: [Amanda Ghost, coWroteSong, Tattoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tattoo
Context triple: [Amanda Ghost, coWroteSong, Tattoo]
  • A. Tattoo chosen
    "Tattoo" is a mid-2000s pop-R&B single by American singer Jordin Sparks that became one of her breakout hits following her American Idol win.
  • B. Tattoo
    "Tattoo" is a 2002 German crime thriller film directed by Robert Schwentke, centered on a dark investigation involving a serial killer and tattooed skin.
  • C. Basel Tattoo
    Basel Tattoo is a major annual military music and marching show in Basel, Switzerland, featuring international military bands, precision drill teams, and ceremonial performances.
  • D. Graffitia
    Graffitia is a song featured on the album "Father of All Motherfuckers" by Green Day.
  • E. Scar
    Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063625608819081f5422112c80ce5 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2443138788190835ed3fd99f21827 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.