Triple

T230362
Position Surface form Disambiguated ID Type / Status
Subject Andries van Dam E4397 entity
Predicate givenName P17 FINISHED
Object Andries 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: Andries | Statement: [Andries van Dam, givenName, Andries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andries
Context triple: [Andries van Dam, givenName, Andries]
  • A. Andru
    Andru is a diminutive form of the given name Andrei, typically used as an affectionate or informal nickname.
  • B. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • C. Andreas chosen
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • D. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cac7994819080b0b3b10808f8e5 completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3949c6dfc81909a7aaa0ac3e91a65 completed March 1, 2026, 1:21 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.