Triple

T82354
Position Surface form Disambiguated ID Type / Status
Subject European Academy of Sciences and Arts E1653 entity
Predicate hasPresident P112 FINISHED
Object Felix Unger E18221 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: Felix Unger | Statement: [European Academy of Sciences and Arts, hasPresident, Felix Unger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felix Unger
Context triple: [European Academy of Sciences and Arts, hasPresident, Felix Unger]
  • A. Felix Unger chosen
    Felix Unger is an Austrian cardiac surgeon and academic known for co-founding and leading the European Academy of Sciences and Arts.
  • B. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • C. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • D. Frank Heart
    Frank Heart was an American computer engineer best known for leading the team that built the first Interface Message Processors, the packet-switching nodes that formed the backbone of the early ARPANET and laid groundwork for the modern internet.
  • E. Daniel H. Weiss
    Daniel H. Weiss is an American art historian and academic leader who served as president and CEO of New York’s Metropolitan Museum of Art.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f367b208190a69f5b76d6ae0496 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ce338f708190b9e5eba745d45ca6 completed Feb. 28, 2026, 11:14 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.