Triple
T12275942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEPD |
E292588
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object | Daniel Jones |
E61198
|
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: Daniel Jones | Statement: [CEPD, basedOnWorkBy, Daniel Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Jones Context triple: [CEPD, basedOnWorkBy, Daniel Jones]
-
A.
Daniel Jones
chosen
Daniel Jones was a British phonetician and linguist renowned for codifying and popularizing the model of Received Pronunciation in English.
-
B.
Daniel Jones
Daniel Jones is an American football quarterback best known for playing college football at Duke before being drafted sixth overall by the New York Giants in the 2019 NFL Draft.
-
C.
Neal Jones
Neal Jones is an American actor known for his work in film and television, including a role in the HBO miniseries "Generation Kill."
-
D.
Chris Jones
Chris Jones is a video game developer best known as one of the founders of the role-playing game studio Obsidian Entertainment.
-
E.
Robert Jones
Robert Jones is a film producer best known for his work on the movie "The Proposition."
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a959e7c8190a005f20728cb71e0 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:52 p.m.