Triple
T12144137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Heywood |
E289271
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Raymond Stross |
E614873
|
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: Raymond Stross | Statement: [Anne Heywood, spouse, Raymond Stross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raymond Stross Context triple: [Anne Heywood, spouse, Raymond Stross]
-
A.
Raymond Stross
chosen
Raymond Stross was a British film producer active in the mid-20th century, known for backing a range of dramas and genre films.
-
B.
John Buckwalter
John Buckwalter is an actor known for his role in Woody Allen’s mockumentary film "Zelig."
-
C.
Leland Robinson
Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
-
D.
Alan E. Nourse
Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
-
E.
Walter Stradling
Walter Stradling was a British-born cinematographer of the silent film era, known for his work in early Hollywood productions before his untimely death in 1918.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915aacaa08190b31f54e230334406 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69501348190a9ac090c7db37c20 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.