Triple

T7450627
Position Surface form Disambiguated ID Type / Status
Subject Florence Nightingale E171998 entity
Predicate familyName P18 FINISHED
Object Nightingale E169716 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: Nightingale | Statement: [Florence Nightingale, familyName, Nightingale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nightingale
Context triple: [Florence Nightingale, familyName, Nightingale]
  • A. Nightingale chosen
    Nightingale is the surname of Florence Nightingale, the pioneering 19th-century nurse and social reformer widely regarded as the founder of modern nursing.
  • B. Nightingale
    Nightingale is a 2014 psychological drama film featuring David Oyelowo in an intense, largely single-character performance as a mentally unstable war veteran.
  • C. Nightingall
    Nightingall is an alternative spelling of the surname Nightingale, most famously associated with the pioneering nurse and social reformer Florence Nightingale.
  • D. Maud
    Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
  • E. Maud
    Maud was a Norwegian polar exploration ship used by Roald Amundsen during his Arctic expeditions in the early 20th century.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38c28e08190956766a5222fe720 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83455d84c8190bd129fda0813dc56 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:14 p.m.