Triple
T2557735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fatal Englishman |
E56766
|
entity |
| Predicate | hasSubject |
P450
|
FINISHED |
| Object | Jeremy Wolfenden |
E281381
|
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: Jeremy Wolfenden | Statement: [The Fatal Englishman, hasSubject, Jeremy Wolfenden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Wolfenden Context triple: [The Fatal Englishman, hasSubject, Jeremy Wolfenden]
-
A.
Jeremy Wolfenden
chosen
Jeremy Wolfenden was a brilliant yet troubled British journalist, spy, and intellectual of the mid-20th century whose short, tumultuous life became emblematic of wasted talent and Cold War intrigue.
-
B.
Daniel A. Wolf
Daniel A. Wolf is an American entrepreneur and politician best known as the founder of regional airline Cape Air and as a former Massachusetts state senator.
-
C.
Daniel Scharf
Daniel Scharf is a film producer best known for his work on the influential 1992 Australian drama "Romper Stomper."
-
D.
Stephen Endlicher
Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
-
E.
P. J. Wolfson
P. J. Wolfson was an American screenwriter and novelist active in Hollywood during the 1930s and 1940s, known for his work on suspense and drama films.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd33153fc8190aa106e23ee645f63 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af906f488481909e5e45d8405022b5 |
completed | March 10, 2026, 3:30 a.m. |
Created at: March 6, 2026, 9:48 p.m.