Triple
T20203783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grainger |
E493292
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Granger |
—
|
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: Granger | Statement: [Grainger, hasVariant, Granger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granger Context triple: [Grainger, hasVariant, Granger]
-
A.
Granger
Granger is a small town in southwestern Wyoming known for its historic role as a stop along early emigrant and railroad routes.
-
B.
Granger
chosen
Granger is a surname most notably associated with former NBA All-Star forward Danny Granger.
-
C.
Granger
Granger is the wise, book-loving leader of a group of intellectual exiles who guides Montag after his escape from the oppressive society in Ray Bradbury’s *Fahrenheit 451*.
-
D.
Almon
Almon is a masculine given name of English origin that has historically been used in the United States.
-
E.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8f90108190b72e37c0056de0f8 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.