Triple
T4441769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenkins |
E96187
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jenkins |
unclear NED1
|
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: Jenkins | Statement: [Jenkins, name, Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenkins Context triple: [Jenkins, name, Jenkins]
-
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.
Jenkins
Jenkins is an open-source automation server widely used for continuous integration and continuous delivery (CI/CD) in software development.
-
D.
CircleCI
CircleCI is a cloud-based continuous integration and delivery platform that automates building, testing, and deploying software.
-
E.
Jetty
Jetty is a lightweight, embeddable Java-based web server and servlet container widely used for hosting web applications and supporting modern web protocols.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61380fca08190bf036a7d82cee0e7 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.