Triple

T9896154
Position Surface form Disambiguated ID Type / Status
Subject Peter van Dam E182177 entity
Predicate familyName P18 FINISHED
Object van Dam E29567 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: van Dam | Statement: [Peter van Dam, familyName, van Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: van Dam
Context triple: [Peter van Dam, familyName, van Dam]
  • A. van Dam chosen
    van Dam is a Dutch surname commonly associated with individuals of Dutch origin or ancestry.
  • B. Vandamm
    Vandamm is a surname, often a variant spelling of "van Damm," associated with various individuals in arts, entertainment, and other fields.
  • C. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • D. van Egmond
    Van Egmond is a Dutch noble family name historically associated with influential aristocratic lineages in the Netherlands.
  • E. van Amsberg
    Van Amsberg is the German-origin noble family name associated with the Dutch royal family, including members such as Prince Constantijn of the Netherlands.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4a9d2f4819086cfdd42b613cd8c completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb1355888190baf9846815801e92 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:39 p.m.