Triple
T11020146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woman in Black |
E260466
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Hamish Hamilton |
E45303
|
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: Hamish Hamilton | Statement: [The Woman in Black, publisher, Hamish Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamish Hamilton Context triple: [The Woman in Black, publisher, Hamish Hamilton]
-
A.
Hamish Hamilton
Hamish Hamilton is a British television director renowned for helming major live broadcasts, including high-profile award shows and music events.
-
B.
Hamish Hamilton
chosen
Hamish Hamilton is a renowned British publishing imprint known for literary fiction and non-fiction by prominent international authors.
-
C.
David Urquhart
David Urquhart was a 19th-century Scottish diplomat, writer, and politician known for his advocacy of Turkish interests and his strong opposition to Russian expansion.
-
D.
John Murray
John Murray was a prominent 19th-century British publishing house known for issuing influential scientific and literary works, including Charles Darwin’s writings.
-
E.
John Murray
John Murray is a relatively common personal name shared by numerous individuals across fields such as publishing, politics, sports, and religion.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797baad408190a53fd6941a750f68 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a98725808190903639866a3e745f |
completed | April 18, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:25 p.m.