Triple

T10431257
Position Surface form Disambiguated ID Type / Status
Subject Beautiful Liar E245917 entity
Predicate lyricsBy P1141 FINISHED
Object Amanda Ghost E140111 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: Amanda Ghost | Statement: [Beautiful Liar, lyricsBy, Amanda Ghost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Ghost
Context triple: [Beautiful Liar, lyricsBy, Amanda Ghost]
  • A. Amanda Ghost chosen
    Amanda Ghost is a British singer-songwriter and music executive best known for co-writing major pop hits, including James Blunt’s “You’re Beautiful.”
  • B. Amanda Grayson
    Amanda Grayson is a human schoolteacher from Earth in the Star Trek universe, best known as the human wife of Sarek and mother of Spock, bridging human and Vulcan cultures.
  • C. Amanda
    "Amanda" is a song by the American punk rock band Green Day from their album ¡Tré!.
  • D. Amanda
    Amanda is the central protagonist of the action-thriller film "Into the Blue," around whom the underwater treasure-hunting adventure revolves.
  • E. Amanda
    Amanda is the central character of the work "The Relapse," around whom the main events and conflicts of the story revolve.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea63f03c81908331655241102725 completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f98a2a0819093e029d940c59508 completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:13 p.m.