Triple
T18453407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Heseltine |
E450841
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Anne 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: Anne Heseltine | Statement: [Michael Heseltine, spouse, Anne Heseltine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Heseltine Context triple: [Michael Heseltine, spouse, Anne Heseltine]
-
A.
Anne Heseltine
chosen
Anne Heseltine is the wife of British Conservative politician and former Deputy Prime Minister Michael Heseltine.
-
B.
Elizabeth Hume
Elizabeth Hume is a linguist and phonologist known for her work on sound patterns and their cognitive and communicative underpinnings.
-
C.
Helen Humes
Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
-
D.
Carobeth Laird
Carobeth Laird was an American ethnographer and linguist best known for her influential documentation of Chemehuevi language and culture.
-
E.
Eileen Anketell
Eileen Anketell was the wife of British television producer, director, and writer Barry Letts, best known for his work on the classic science fiction series "Doctor Who."
- 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.