Triple

T2019106
Position Surface form Disambiguated ID Type / Status
Subject Andreas Acrivos E44063 entity
Predicate givenName P17 FINISHED
Object Andreas E8082 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: Andreas | Statement: [Andreas Acrivos, givenName, Andreas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreas
Context triple: [Andreas Acrivos, givenName, Andreas]
  • A. Andreas chosen
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • B. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • C. Andreas Hermes
    Andreas Hermes was a German politician and agricultural expert who served in high-level government roles during the Weimar Republic and later became a prominent figure in postwar Christian democratic politics.
  • D. Anders
    Anders is a Scandinavian given name, commonly used in countries like Sweden, Norway, and Denmark, and is a variant of the name Andrew.
  • E. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8cfa5c88190b55bce5db968665b completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af3f484819085e18a1f9c2e7f9a completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.