Triple
T14018412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangerous Passage |
E337258
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | William Berke |
E1075779
|
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: William Berke | Statement: [Dangerous Passage, producer, William Berke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Berke Context triple: [Dangerous Passage, producer, William Berke]
-
A.
William Berke
chosen
William Berke was an American film director and producer known for his prolific work on low-budget B-movies, particularly crime dramas and Westerns, during the mid-20th century.
-
B.
William Rector
William Rector is an American businessman best known as a founder of the telecommunications company WorldCom, Inc.
-
C.
Michael Berkeley
Michael Berkeley is a British composer and broadcaster known for his contemporary classical works and for presenting music programs on BBC Radio.
-
D.
John Brooke
John Brooke is a fictional character from Louisa May Alcott's classic novel "Little Women," known as the earnest tutor who becomes Meg March's husband.
-
E.
William Pierson
William Pierson is a tough, battle-hardened U.S. Army staff sergeant and key supporting character in the World War II–themed video game Call of Duty: WWII.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb653fedc81908cdd0dde2d3f3329 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.