Triple

T6157346
Position Surface form Disambiguated ID Type / Status
Subject Caroline Archenbaut Defayis E137354 entity
Predicate givenName P17 FINISHED
Object Caroline E239135 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: Caroline | Statement: [Caroline Archenbaut Defayis, givenName, Caroline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline
Context triple: [Caroline Archenbaut Defayis, givenName, Caroline]
  • A. Caroline
    Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • B. Caroline chosen
    Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
  • C. Caroline
    "Caroline" is a breakout hip-hop single by American rapper Aminé, known for its catchy hook and playful storytelling.
  • D. Caroline
    Caroline is a rural town in Tompkins County, New York, known for its small communities, scenic landscapes, and proximity to the city of Ithaca.
  • E. Caroline
    Caroline of Ansbach was an 18th-century Queen consort of Great Britain and Ireland as the wife of King George II, noted for her political influence and patronage of the arts and sciences.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d3177588190970a45af0d43b04c completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1418ba6488190aaf8d3070555d60a completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.