Triple
T8755944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 8259 |
E208072
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Tim Bray |
E696306
|
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: Tim Bray | Statement: [RFC 8259, author, Tim Bray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Bray Context triple: [RFC 8259, author, Tim Bray]
-
A.
Tim Bray
chosen
Tim Bray is a Canadian software developer and technology executive best known as a co-creator of the XML specification and a prominent advocate for open standards.
-
B.
Dave Winer
Dave Winer is a software developer and blogger best known as a pioneer of web syndication and blogging technologies, including key contributions to the development of RSS.
-
C.
Ian Hickson
Ian Hickson is a prominent web standards editor and software engineer best known for his leading role in developing the HTML5 specification and his work with the WHATWG and W3C.
-
D.
Eric Evans
Eric Evans is a software engineer and thought leader best known for originating and popularizing the concept of Domain-Driven Design in enterprise software development.
-
E.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd95e9481909cc88e8d91601754 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4338c0f88190a1e3f7ef164b6c6d |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.