Triple
T17674541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JRuby |
E440612
|
entity |
| Predicate | hasMaintainer |
P43816
|
FINISHED |
| Object | Thomas Enebo |
—
|
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: Thomas Enebo | Statement: [JRuby, hasMaintainer, Thomas Enebo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Enebo Context triple: [JRuby, hasMaintainer, Thomas Enebo]
-
A.
Thomas Enebo
chosen
Thomas Enebo is a software developer best known as a co-creator and lead maintainer of JRuby, the Ruby programming language implementation on the Java Virtual Machine.
-
B.
Erik Jendresen
Erik Jendresen is an American writer and producer best known for his work on the acclaimed World War II miniseries "Band of Brothers."
-
C.
Jeff Malmberg
Jeff Malmberg is an American documentary filmmaker best known for directing the acclaimed film "Marwencol," which inspired the narrative of "Welcome to Marwen."
-
D.
Michael Eklund
Michael Eklund is a Canadian character actor known for his intense, often villainous roles in film and television thrillers.
-
E.
Jon Ekstrand
Jon Ekstrand is a Swedish film composer and sound designer known for his atmospheric scores for documentaries and feature films, including collaborations with director Daniel Espinosa.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.