Triple

T3888355
Position Surface form Disambiguated ID Type / Status
Subject Middle French E87998 entity
Predicate precedes P97 FINISHED
Object Modern French E13984 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: Modern French | Statement: [Middle French, precedes, Modern French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modern French
Context triple: [Middle French, precedes, Modern French]
  • A. Middle French
    Middle French is the historical stage of the French language used roughly between the 14th and 17th centuries, marking the transition from Old French to Modern French.
  • B. Old French
    Old French was the medieval Romance language spoken in northern France and surrounding regions, which served as the linguistic ancestor of modern French and significantly influenced English after the Norman Conquest.
  • C. French chosen
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • D. French American
    French Americans are U.S. residents or citizens of French ancestry, including both descendants of early French settlers and more recent immigrants from France.
  • E. Parisian
    Parisian was a regional department store chain in the United States, known for selling mid- to upscale apparel and home goods before being phased out in the 2000s.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecad4bf081909ae45a69d22468fa completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c8f299c8190a6a53ec59837b402 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:21 p.m.