Triple

T4392659
Position Surface form Disambiguated ID Type / Status
Subject Arabella Kennedy E99400 entity
Predicate ethnicGroup P194 FINISHED
Object French American E27555 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: French American | Statement: [Arabella Kennedy, ethnicGroup, French American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French American
Context triple: [Arabella Kennedy, ethnicGroup, French American]
  • A. French American chosen
    French Americans are U.S. residents or citizens of French ancestry, including both descendants of early French settlers and more recent immigrants from France.
  • B. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • C. French Canadian
    French Canadians are a North American ethnic group descended primarily from early French settlers in Canada, known for their distinct French language, culture, and strong presence in Quebec.
  • D. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • E. French Community
    The French Community is one of Belgium’s federated entities responsible for cultural, educational, and language-related matters for French-speaking residents.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35285592881909fcdea225a655950 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e53385508190ac1261c44672070b completed March 14, 2026, 10:46 p.m.
Created at: March 12, 2026, 11:19 p.m.