Triple

T14595237
Position Surface form Disambiguated ID Type / Status
Subject Filips E342542 entity
Predicate shortFormOf P43 FINISHED
Object Philippus E648584 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: Philippus | Statement: [Filips, shortFormOf, Philippus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippus
Context triple: [Filips, shortFormOf, Philippus]
  • A. Philippus chosen
    Philippus is the Latin form of the given name Philip, historically borne by various notable figures including ancient kings, nobles, and early Christian leaders.
  • B. Philipp
    Philipp is the German given name of Philip Melanchthon, the influential 16th-century German Lutheran reformer and collaborator of Martin Luther.
  • C. Philipp
    Philipp is the given name of Carl Philipp Emanuel Bach, an influential 18th-century German composer and musician.
  • D. Philipp
    Philipp was the given name of the 19th-century German botanist and explorer Carl Friedrich Philipp von Martius, renowned for his extensive studies of Brazilian flora.
  • E. Philipp
    Philipp is the given name of Philipp Franz von Siebold, a 19th-century German physician and naturalist renowned for his pioneering studies of Japanese flora, fauna, and culture.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43581348190b5362251c3a89654 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda918542c819099646943be59dd04 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:25 a.m.