Triple
T21900362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Lake |
E540790
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Mark Helprin |
—
|
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: Mark Helprin | Statement: [Peter Lake, createdBy, Mark Helprin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Helprin Context triple: [Peter Lake, createdBy, Mark Helprin]
-
A.
Mark Helprin
chosen
Mark Helprin is an American novelist and short story writer known for his richly imaginative, lyrical fiction, including the novel "Winter's Tale."
-
B.
Ronald Schwab
Ronald Schwab is an individual notable enough to be recognized as a prominent bearer of the surname Schwab.
-
C.
Kevin J. Kinsella
Kevin J. Kinsella is an American venture capitalist and life sciences entrepreneur best known for founding the biotechnology company Vertex Pharmaceuticals.
-
D.
Charles Glass
Charles Glass is an American-British journalist, author, and broadcaster best known for his reporting from the Middle East and his work as ABC News chief Middle East correspondent.
-
E.
George Heller
George Heller is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Heller.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fca2bf88190b2a5b912aa102513 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.