Triple
T1269105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Unknown |
E15668
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | John Murray |
E13294
|
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: John Murray | Statement: [The Great Unknown, publisher, John Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Murray Context triple: [The Great Unknown, publisher, John Murray]
-
A.
John Murray
chosen
John Murray was a prominent 19th-century British publishing house known for issuing influential scientific and literary works, including Charles Darwin’s writings.
-
B.
John Murray
John Murray is an American actor and comedian best known for his roles in 1980s films and for being part of the Murray family of performers.
-
C.
Hamish Hamilton
Hamish Hamilton is a renowned British publishing imprint known for literary fiction and non-fiction by prominent international authors.
-
D.
Hamish Hamilton
Hamish Hamilton is a British television director renowned for helming major live broadcasts, including high-profile award shows and music events.
-
E.
William Heinemann
William Heinemann is a British publishing house, founded in the late 19th century, known for issuing works by prominent literary and non-fiction authors.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c03aaa8c8190bacb7de5a38329da |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac99898bdc8190bbbe28083b4a548b |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:50 p.m.