Triple

T679237
Position Surface form Disambiguated ID Type / Status
Subject Rose Fitzgerald Kennedy E13144 entity
Predicate givenName P17 FINISHED
Object Rose E28738 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: Rose | Statement: [Rose Fitzgerald Kennedy, givenName, Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose
Context triple: [Rose Fitzgerald Kennedy, givenName, Rose]
  • A. Lady
    "Lady" is a 1980 country-pop love ballad by Kenny Rogers, written and produced by Lionel Richie, that became one of Rogers' signature hits.
  • B. Sarah
    Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
  • C. Rosa
    Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
  • D. Billie
    Billie is the given name of Billie Joe Armstrong, the American musician best known as the lead vocalist and guitarist of the punk rock band Green Day.
  • E. Roberta chosen
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04e17088190943d54977eb3f83a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6374cc0d48190900e96a374ce35af completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:36 p.m.