Triple
T13012774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Pugh |
E322462
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Philip Pugh |
E322462
|
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: Philip Pugh | Statement: [Philip Pugh, name, Philip Pugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Pugh Context triple: [Philip Pugh, name, Philip Pugh]
-
A.
Philip Pugh
chosen
Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
-
B.
Michael Pugh
Michael Pugh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
-
C.
Martin Pugh
Martin Pugh is a British historian known for his influential works on modern British political and social history, including studies of the Labour Party, feminism, and interwar politics.
-
D.
Michael Gwynn
Michael Gwynn was a British character actor known for his roles in mid-20th-century film and television, including appearances in classic horror and science fiction productions.
-
E.
Martin Lancaster
Martin Lancaster is a video game writer best known for his work on major titles such as Batman: Arkham Knight.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f861188190892b4d693395cc5e |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:49 p.m.