Triple
T15082217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Penrose |
E360176
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jonathan Penrose |
E360176
|
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: Jonathan Penrose | Statement: [Jonathan Penrose, name, Jonathan Penrose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Penrose Context triple: [Jonathan Penrose, name, Jonathan Penrose]
-
A.
Jonathan Penrose
chosen
Jonathan Penrose was a British chess grandmaster and psychologist, best known for winning the British Chess Championship ten times between 1958 and 1969.
-
B.
John Tyrrell
John Tyrrell was an American character actor known for his numerous supporting roles in 1930s and 1940s Hollywood films, often appearing in comedies and crime dramas.
-
C.
Edward Lapidge
Edward Lapidge was a 19th-century English architect best known for his work on bridges and public buildings in and around London.
-
D.
Gabriel Shipton
Gabriel Shipton is an Australian film producer and the half-brother of WikiLeaks founder Julian Assange, known for his advocacy on Julian’s behalf.
-
E.
Edward Shearmur
Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0027450a48190a84588b6aaf84ebf |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3647bda881909a83311926096a29 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:03 a.m.