Triple

T16856694
Position Surface form Disambiguated ID Type / Status
Subject Ferenc Dávid E409801 entity
Predicate name P16 FINISHED
Object Ferenc Dávid E409801 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: Ferenc Dávid | Statement: [Ferenc Dávid, name, Ferenc Dávid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferenc Dávid
Context triple: [Ferenc Dávid, name, Ferenc Dávid]
  • A. Ferenc Dávid chosen
    Ferenc Dávid was a 16th-century Transylvanian religious reformer and theologian who became a leading figure of early Unitarianism and a pioneer of religious tolerance in Europe.
  • B. András Nagy
    András Nagy is a Hungarian biologist and stem cell researcher known for his pioneering work in embryonic stem cells and regenerative medicine.
  • C. Zoltán Takács
    Zoltán Takács is a Hungarian-born American toxinologist and herpetologist known for his research on venomous snakes and the development of antivenom and drug discovery technologies.
  • D. Zoltán Nagy
    Zoltán Nagy is a Hungarian name shared by several notable individuals, including professionals in fields such as sports, music, and academia.
  • E. Zoltán Huszárik
    Zoltán Huszárik was a Hungarian film director and visual artist renowned for his poetic, experimental style and influential works in 20th-century Hungarian cinema.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37e34b88190bb4468424e2edf2d completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb2337348190ae79dc4b188c94cf completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.