Triple

T19374507
Position Surface form Disambiguated ID Type / Status
Subject Paulin Talabot E484631 entity
Predicate givenName P17 FINISHED
Object Paulin NE NERFINISHED

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: Paulin | Statement: [Paulin Talabot, givenName, Paulin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paulin
Context triple: [Paulin Talabot, givenName, Paulin]
  • A. Paulin
    Paulin is the middle name of American actor and comedian Will Ferrell, whose full birth name is John William Ferrell.
  • B. Pothinus of Lyon
    Pothinus of Lyon was a 2nd-century Christian bishop and martyr, venerated as the first bishop of Lyon and an early leader of the Church in Gaul.
  • C. Paulin Talabot chosen
    Paulin Talabot was a 19th-century French engineer, entrepreneur, and banker who played a key role in developing France’s railway network and later helped establish major financial institutions.
  • D. Grégoire
    Grégoire is the French form of the given name Gregory, commonly used in French-speaking countries.
  • E. Thagaste
    Thagaste was an ancient North African town in Roman Numidia, best known as the birthplace of the Christian theologian and philosopher St. Augustine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61a5acc4481908fecfb57af16d037 completed April 20, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:35 p.m.