Triple
T1621136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PJ Hyett |
E35033
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | PJ Hyett |
E35033
|
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: PJ Hyett | Statement: [PJ Hyett, name, PJ Hyett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PJ Hyett Context triple: [PJ Hyett, name, PJ Hyett]
-
A.
PJ Hyett
chosen
PJ Hyett is an American software developer and entrepreneur best known as a co-founder of the code hosting and collaboration platform GitHub.
-
B.
Andrew Humphrey
Andrew Humphrey was a senior Royal Air Force officer who rose to become Chief of the Air Staff and later Chief of the Defence Staff in the United Kingdom.
-
C.
Jonnie Hughes
Jonnie Hughes is a British writer and producer known for his work on nature and science documentaries, including co-authoring David Attenborough’s book "A Life on Our Planet."
-
D.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
E.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909b1fc788190b38c0aa4ccc2e953 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51d2cbb481908bc74cecdc023547 |
completed | March 8, 2026, 10:39 a.m. |
Created at: March 4, 2026, 7:28 p.m.