Triple

T11715179
Position Surface form Disambiguated ID Type / Status
Subject Adrienne E278477 entity
Predicate hasVariant P455 FINISHED
Object Adrianne E214148 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: Adrianne | Statement: [Adrienne, hasVariant, Adrianne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adrianne
Context triple: [Adrienne, hasVariant, Adrianne]
  • A. Adrianne chosen
    Adrianne is a feminine given name most notably borne by American actress Adrianne Palicki.
  • B. Adrienne
    Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • C. Adrianna Franch
    Adrianna Franch is an American professional soccer goalkeeper known for her standout performances in the National Women's Soccer League and appearances with the United States women's national team.
  • D. Alana
    Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • E. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8397a4ac8190a71dfdd53bfa168a completed April 27, 2026, 3:41 p.m.
Created at: April 8, 2026, 9:40 p.m.