Triple

T8672835
Position Surface form Disambiguated ID Type / Status
Subject Gerrit Anne Blaauw E205840 entity
Predicate givenName P17 FINISHED
Object Gerrit E475786 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 Anne Blaauw, givenName, Gerrit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerrit
Context triple: [Gerrit Anne Blaauw, givenName, Gerrit]
  • A. Gerrit chosen
    Gerrit is a masculine given name of Germanic origin, notably borne by American baseball pitcher Gerrit Cole.
  • B. Gerrit (Wikimedia code review system)
    Gerrit (Wikimedia code review system) is a web-based code review and project management tool used by Wikimedia to manage and review changes to its software repositories.
  • C. Jenkins
    Jenkins is an open-source automation server widely used for continuous integration and continuous delivery (CI/CD) in software development.
  • D. Jenkins
    Jenkins is a fictional character who serves as the main protagonist in the story "City."
  • E. Jenkins
    Jenkins is a common English-language surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc491b807c81909563a34a947bc21a completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd3a3c5c8190940a61e7e7b3e887 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.