Triple

T19160030
Position Surface form Disambiguated ID Type / Status
Subject Anton Ferdinand E469027 entity
Predicate fullName P16 FINISHED
Object Anton Julian Ferdinand 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: Anton Julian Ferdinand | Statement: [Anton Ferdinand, fullName, Anton Julian Ferdinand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton Julian Ferdinand
Context triple: [Anton Ferdinand, fullName, Anton Julian Ferdinand]
  • A. Franz John
    Franz John was a German football pioneer best known as the founding figure and first president of FC Bayern Munich.
  • B. Anton Eberl
    Anton Eberl was an Austrian composer, pianist, and contemporary of Mozart and Beethoven, known for his symphonies, chamber music, and piano works in the late Classical era.
  • C. Anton Ferdinand chosen
    Anton Ferdinand is an English former professional footballer, primarily a central defender, known for his time at West Ham United and Sunderland and as the younger brother of Rio Ferdinand.
  • D. Anton Kerner von Marilaun
    Anton Kerner von Marilaun was a prominent 19th-century Austrian botanist known for his influential work in plant ecology and the study of plant distribution.
  • E. Eduard Franz
    Eduard Franz was an American character actor known for his dignified, often scholarly roles in mid-20th-century film, television, and theater.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eebc52dc819085666dbbeea365a6 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.