Triple
T18453419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Heseltine |
E450842
|
entity |
| Predicate | hasStyle |
P1609
|
FINISHED |
| Object | Lord Heseltine |
—
|
NE NERFINISHED |
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: Lord Heseltine | Statement: [Baron Heseltine, hasStyle, Lord Heseltine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Heseltine Context triple: [Baron Heseltine, hasStyle, Lord Heseltine]
-
A.
Baron Heseltine
chosen
Baron Heseltine is the life peerage title in the House of Lords held by British Conservative politician and businessman Michael Heseltine.
-
B.
Lord Rothermere
Lord Rothermere was a British newspaper magnate and press baron associated with the Daily Mail and other major publications.
-
C.
Lord Walderhurst
Lord Walderhurst is a wealthy, middle-aged English marquess whose late-in-life marriage and reserved, aristocratic demeanor drive much of the social and emotional tension in Frances Hodgson Burnett’s novel "The Making of a Marchioness."
-
D.
Lord Tavistock
Lord Tavistock is the courtesy title traditionally borne by the heir apparent to the Duke of Bedford in the British peerage.
-
E.
Lord Willetts
Lord Willetts is a British Conservative politician and policy thinker, known especially for his work on higher education and intergenerational fairness.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264a49ec8190aa43381d93a55e91 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:31 a.m.