Triple
T18961519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Pfeffer |
E463924
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Pfeffer |
—
|
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: Pfeffer | Statement: [Jeffrey Pfeffer, hasFamilyName, Pfeffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfeffer Context triple: [Jeffrey Pfeffer, hasFamilyName, Pfeffer]
-
A.
Pfeffer
chosen
Pfeffer is a German-origin surname borne by various notable individuals across fields such as academia, politics, and the arts.
-
B.
Pepperpot
Pepperpot was the wartime nickname of the British Royal Navy light cruiser HMS Penelope, famed for her numerous shell holes and resilience in World War II.
-
C.
Fenn
Fenn is a surname most notably associated with John B. Fenn, the Nobel Prize–winning American chemist recognized for his work in mass spectrometry.
-
D.
Pimienta
Pimienta is a small municipality and town located in the Cortés Department of northwestern Honduras.
-
E.
Muskateller
Muskateller is a highly aromatic white wine grape variety, closely related to the Muscat family, known for its intense floral and grapey flavors.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d2b1c08190a4a32036c70c7746 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon