Triple
T18532224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerritsen |
E452859
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object | Gerrit |
—
|
NE NERFINISHED |
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: [Gerritsen, derivedFromGivenName, Gerrit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerrit Context triple: [Gerritsen, derivedFromGivenName, 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 (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fe35288190977c85ee0bb96264 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.