Triple

T1677720
Position Surface form Disambiguated ID Type / Status
Subject Père Lachaise Cemetery E36269 entity
Predicate burialPlaceOf P196 FINISHED
Object Édith Piaf E114848 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: Édith Piaf | Statement: [Père Lachaise Cemetery, burialPlaceOf, Édith Piaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Édith Piaf
Context triple: [Père Lachaise Cemetery, burialPlaceOf, Édith Piaf]
  • A. Édith Piaf chosen
    Édith Piaf was a legendary French singer and cultural icon renowned for her emotive voice and classic chansons that profoundly shaped 20th-century French music.
  • B. Mireille Mathieu
    Mireille Mathieu is a French chanteuse renowned for her powerful voice, classic chanson repertoire, and international success since the 1960s.
  • C. Nana Mouskouri
    Nana Mouskouri is a Greek singer renowned worldwide for her distinctive clear voice, multilingual repertoire, and prolific recording career spanning several decades.
  • D. Patricia Kaas
    Patricia Kaas is a French singer and actress known for her distinctive husky voice and modern take on classic chanson, blending pop, jazz, and cabaret influences.
  • E. Mylène Farmer
    Mylène Farmer is a French singer-songwriter and producer renowned for her melancholic pop music, poetic lyrics, and visually striking, often controversial music videos.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625e4cd0819083825b41196f902d completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71ba4db08190a532fb334fd0cd23 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.