Triple
T17675813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Weirich |
E440639
|
entity |
| Predicate | spokeAt |
P10206
|
FINISHED |
| Object |
RubyConf
RubyConf is a major annual conference dedicated to the Ruby programming language and its community.
|
E1282476
|
NE FINISHED |
How this triple was built (4 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: RubyConf | Statement: [Jim Weirich, spokeAt, RubyConf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RubyConf Context triple: [Jim Weirich, spokeAt, RubyConf]
-
A.
Rubycon
Rubycon is a 1975 electronic music album by Tangerine Dream, renowned for its long-form, atmospheric synthesizer soundscapes that helped define the Berlin School style.
-
B.
Perl conferences
Perl conferences are gatherings of developers and enthusiasts focused on the Perl programming language, featuring technical talks, workshops, and community networking.
-
C.
PyCon US
PyCon US is the largest annual conference for the Python programming community in the United States, featuring talks, tutorials, sprints, and networking for developers and enthusiasts.
-
D.
Ruby Port
Ruby Port is a young, fruit-forward fortified wine from Portugal’s Douro Valley, typically deep red in color and aged briefly in large casks to preserve its vibrant character.
-
E.
NYCERS
NYCERS is the public pension fund that administers retirement and related benefits for eligible New York City employees.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RubyConf Triple: [Jim Weirich, spokeAt, RubyConf]
Generated description
RubyConf is a major annual conference dedicated to the Ruby programming language and its community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RubyConf Target entity description: RubyConf is a major annual conference dedicated to the Ruby programming language and its community.
-
A.
Rubycon
Rubycon is a 1975 electronic music album by Tangerine Dream, renowned for its long-form, atmospheric synthesizer soundscapes that helped define the Berlin School style.
-
B.
Perl conferences
Perl conferences are gatherings of developers and enthusiasts focused on the Perl programming language, featuring technical talks, workshops, and community networking.
-
C.
PyCon US
PyCon US is the largest annual conference for the Python programming community in the United States, featuring talks, tutorials, sprints, and networking for developers and enthusiasts.
-
D.
Ruby Port
Ruby Port is a young, fruit-forward fortified wine from Portugal’s Douro Valley, typically deep red in color and aged briefly in large casks to preserve its vibrant character.
-
E.
NYCERS
NYCERS is the public pension fund that administers retirement and related benefits for eligible New York City employees.
- F. None of above. chosen
Provenance (5 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6cca54819094ea0bed1517724e |
completed | April 19, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022325d6108190975082abcdb21ce1 |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a022759531c8190a77c5dc4e3ccaee6 |
completed | May 11, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0227ff79d881908ad190b2665bc63d |
completed | May 11, 2026, 7:03 p.m. |
Created at: April 10, 2026, 10 a.m.