Triple
T23340944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Huguenots |
E591731
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Schlesinger |
—
|
NE NERFINISHED |
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: Schlesinger | Statement: [Les Huguenots, publisher, Schlesinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlesinger Context triple: [Les Huguenots, publisher, Schlesinger]
-
A.
Schlesinger
Schlesinger is a surname most prominently associated with James R. Schlesinger, a former U.S. Secretary of Defense and influential figure in American national security policy.
-
B.
Schlesinger
chosen
Schlesinger was a prominent 19th-century music publishing house based in Berlin and later Paris, known for issuing works by major Romantic composers.
-
C.
Woolsey
Woolsey is a surname most notably associated with Theodore Dwight Woolsey, a prominent 19th-century American academic and president of Yale College.
-
D.
Stephen Schlesinger
Stephen Schlesinger is an American historian, foreign policy scholar, and author known for his influential works on U.S. interventionism and international affairs.
-
E.
Paul Schlesinger
Paul Schlesinger is a British television producer known for his work on acclaimed comedy series, including the mockumentary "Twenty Twelve."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198329d9c8190992627afa9b54bed |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:18 p.m.