Triple
T9094341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Gluyas |
E217976
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jon Gluyas |
E217976
|
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: Jon Gluyas | Statement: [Jon Gluyas, name, Jon Gluyas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Gluyas Context triple: [Jon Gluyas, name, Jon Gluyas]
-
A.
Jon Gluyas
chosen
Jon Gluyas is a British geologist and energy expert known for his pioneering work in petroleum geology, carbon capture and storage, and geothermal energy.
-
B.
Glenn Shadix
Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
-
C.
Ed Guiney
Ed Guiney is an Irish film producer and co-founder of Element Pictures, known for collaborating on acclaimed films such as "The Favourite," "Room," and "Poor Things."
-
D.
Colin Goad
Colin Goad is a British maritime administrator who served as Secretary-General of the International Maritime Organization, overseeing global shipping safety and environmental standards.
-
E.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b4a2e0819092f4eae8b1d21f33 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d07758ce3c819088e78674a7da5a06 |
completed | April 4, 2026, 2:28 a.m. |
Created at: March 30, 2026, 7:14 p.m.