Triple
T14645965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgar Bergen |
E343849
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Edgar |
E986236
|
NE FINISHED |
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 Bergen, givenName, Edgar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgar Context triple: [Edgar Bergen, givenName, Edgar]
-
A.
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.
-
B.
Edgar
Edgar was an English royal figure of the late 10th century, notable as the son of King Æthelred the Unready.
-
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
Edgar is an opera by Giacomo Puccini that predates and stylistically anticipates his later success with Manon Lescaut.
-
E.
Edgar
chosen
Edgar is a masculine given name of Old English origin, traditionally meaning "wealthy spear" or "prosperous warrior."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ea6d8481908e6331ca173c646b |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d5d05481908dbb23392c05d23b |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.