Triple
T16931644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Windsor |
E410722
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Narrow Margin |
E624949
|
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: The Narrow Margin | Statement: [Marie Windsor, notableWork, The Narrow Margin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Narrow Margin Context triple: [Marie Windsor, notableWork, The Narrow Margin]
-
A.
The Narrow Margin
The Narrow Margin is a highly regarded historical account of the Battle of Britain, detailing the air campaign’s strategy, combat, and significance in World War II.
-
B.
The Narrow Margin
chosen
The Narrow Margin is a 1952 American film noir thriller, celebrated for its taut, suspenseful story about a cop protecting a mobster’s widow on a perilous train journey.
-
C.
Down to the Wire
"Down to the Wire" is a song by the American heavy metal band Little Caesar, known for its gritty, blues-influenced hard rock style.
-
D.
The Winner
The Winner is a suspense thriller novel by David Baldacci about a young woman entangled in a deadly conspiracy after being offered a rigged lottery win.
-
E.
The Winner
"The Winner" is a country song by Bobby Bare, known for its humorous, spoken-word style and wry take on the costs of being a tough guy.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf25a6dc8190a2b9d9c4d2adc5fd |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfdeb7a88190aac21a8645607dc8 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.