Triple
T11926052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Luce Jamagne |
E283784
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Peter Townsend |
E270516
|
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: Peter Townsend | Statement: [Marie-Luce Jamagne, spouse, Peter Townsend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Townsend Context triple: [Marie-Luce Jamagne, spouse, Peter Townsend]
-
A.
Peter Townsend
Peter Townsend was a British sociologist renowned for his pioneering research on poverty, inequality, and social policy.
-
B.
Peter Townsend
Peter Townsend is an author best known for writing the novel "The Girl in the White Ship."
-
C.
Peter Wooldridge Townsend
chosen
Peter Wooldridge Townsend was a British Royal Air Force officer and World War II flying ace best known for his postwar role as equerry to King George VI and his romantic relationship with Princess Margaret.
-
D.
Will Hutton
Will Hutton is a British political economist, journalist, and author known for his influential commentary on economic policy and social democracy.
-
E.
Paul Brickhill
Paul Brickhill was an Australian author and former WWII fighter pilot best known for writing classic wartime narratives such as "The Dam Busters" and "The Great Escape."
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e3ff308190851ce656286bc67e |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440525e9881909b21df139d97d986 |
completed | May 1, 2026, 5:55 a.m. |
Created at: April 8, 2026, 9:45 p.m.