Triple

T1844476
Position Surface form Disambiguated ID Type / Status
Subject Gerrit Blaauw E41251 entity
Predicate givenName P17 FINISHED
Object Gerrit E102852 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: Gerrit | Statement: [Gerrit Blaauw, givenName, Gerrit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerrit
Context triple: [Gerrit Blaauw, givenName, Gerrit]
  • A. Jenkins
    Jenkins is a common English-language surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • B. Jenkins
    Jenkins is the enigmatic, scholarly caretaker of the Library in the fantasy-adventure TV series "The Librarians," known for his vast knowledge of magic and history.
  • C. Joost chosen
    Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
  • D. Gerard
    Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
  • E. Postel
    Postel is a surname most prominently associated with Jon Postel, a pioneering computer scientist and key architect of the early Internet.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb04fe9d481909b5c1973d3f9b92d completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c070548190af52d3feaa3aead2 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:33 p.m.