Triple
T15275390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beethoven |
E365124
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Emily Newton |
E690258
|
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: Emily Newton | Statement: [Beethoven, mainCharacter, Emily Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Newton Context triple: [Beethoven, mainCharacter, Emily Newton]
-
A.
Emily Newton
chosen
Emily Newton is a fictional character from the American television sitcom "Evening Shade."
-
B.
Mary Newman
Mary Newman was the first wife of the English sea captain and explorer Sir Francis Drake in the late 16th century.
-
C.
Emily Sears
Emily Sears was the wife of U.S. Senator and diplomat Henry Cabot Lodge Jr., known primarily for her role as his spouse within a prominent American political family.
-
D.
Emily Friehl
Emily Friehl is a free-spirited, aspiring actress and photographer who forms a years-long, will-they-won’t-they romantic connection with Oliver in the film "A Lot Like Love."
-
E.
Emily Hensley
Emily Hensley was an influential Australian educator and pioneer of girls' education, best known for co-founding Melbourne Girls Grammar School in the late 19th century.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00952731c8190bf6a5e6e10c95b94 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e1b698819098930596327340d7 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 3:14 a.m.