Triple
T18073199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgar Stehli |
E432483
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Edgar |
—
|
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: Edgar | Statement: [Edgar Stehli, hasGivenName, Edgar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgar Context triple: [Edgar Stehli, hasGivenName, Edgar]
-
A.
Edgar
Edgar was an English royal figure of the late 10th century, notable as the son of King Æthelred the Unready.
-
B.
Edgar
Edgar is the first name of Edgar Allan Poe, the influential 19th-century American writer known for his macabre poetry and pioneering detective fiction.
-
C.
Edgar
Edgar is a fictional character who appears in Nathaniel Hawthorne’s short story "The May-Pole of Merry Mount," which explores themes of joy, repression, and Puritanism in early New England.
-
D.
Edgar
chosen
Edgar is a masculine given name of Old English origin, traditionally meaning "wealthy spear" or "prosperous warrior."
-
E.
Edgar
Edgar is a central protagonist in Ken Follett's historical novel "The Evening and the Morning," whose life and struggles help depict the turbulent transition from the Dark Ages to the early Middle Ages in England.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccefcdc4819086d0b224731bfc4d |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.