Triple

T12604675
Position Surface form Disambiguated ID Type / Status
Subject Louis Segond E300946 entity
Predicate familyName P18 FINISHED
Object Segond E300946 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: Segond | Statement: [Louis Segond, familyName, Segond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segond
Context triple: [Louis Segond, familyName, Segond]
  • A. Segond chosen
    Segond is a French surname most notably associated with Louis Segond, the 19th-century Swiss theologian and translator of a widely used French Bible version.
  • B. Schlatter
    Schlatter is a German-language surname borne by various notable individuals across fields such as entertainment, sports, and academia.
  • C. Osgood
    Osgood is a surname of English origin borne by various notable individuals, including publishers, politicians, and athletes.
  • D. FTCC
    FTCC is a public community college in Fayetteville, North Carolina, offering a wide range of technical, vocational, and academic programs.
  • E. Apley
    Apley is a small rural settlement in Lincolnshire, England, situated within the civil parish of Bardney.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e7f2dc8190a42cab7a0e5ea7f3 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ecb09e481909d688f174372dde7 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:10 p.m.