Triple

T1088739
Position Surface form Disambiguated ID Type / Status
Subject André E24111 entity
Predicate hasRelatedName P3889 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: [André, hasRelatedName, Andreas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreas
Context triple: [André, hasRelatedName, 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. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • E. Markus
    Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97d85708190a1630256648aa4a2 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ea6cc888190b06f640a1e4a5147 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:42 p.m.