Triple
T9511134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Martin Hunt |
E229396
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Laura Martin Hunt |
E229396
|
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: Laura Martin Hunt | Statement: [Laura Martin Hunt, name, Laura Martin Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Martin Hunt Context triple: [Laura Martin Hunt, name, Laura Martin Hunt]
-
A.
Laura Martin Hunt
chosen
Laura Martin Hunt is known as the wife of E. Howard Hunt, the former CIA officer and Watergate conspirator.
-
B.
Ann Hunt
Ann Hunt is the wife of British Conservative politician John Hunt, Baron Hunt of Tanworth.
-
C.
Virginia Huston
Virginia Huston was an American film actress best known for her roles in 1940s and 1950s Hollywood films, particularly in classic film noir.
-
D.
Jean Lyndsey Torren Marsh
Jean Lyndsey Torren Marsh is an English actress and writer best known as the co-creator and star of the acclaimed television series "Upstairs, Downstairs."
-
E.
Allegra Huston
Allegra Huston is a British-American writer, editor, and memoirist known for her book "Love Child: A Memoir of Family Lost and Found," which explores her complex Hollywood family background.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9868616c8190856f89fecfa1a02e |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1526d30a481909944110fd6ebd1dd |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 7:58 p.m.