Triple
T19412113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Sheeran |
E485611
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sheeran |
—
|
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: Sheeran | Statement: [Frank Sheeran, familyName, Sheeran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheeran Context triple: [Frank Sheeran, familyName, Sheeran]
-
A.
Ed Sheeran
Ed Sheeran is an English singer-songwriter and musician known for his melodic pop hits, acoustic ballads, and global commercial success.
-
B.
Sam Smith
Sam Smith is an English singer-songwriter known for their soulful pop ballads and powerful vocals, with multiple Grammy and Brit Awards to their name.
-
C.
Matthew Sheeran
chosen
Matthew Sheeran is a British composer and musician known for his classical and choral works and for being the brother of singer-songwriter Ed Sheeran.
-
D.
Lewis Capaldi
Lewis Capaldi is a Scottish singer-songwriter known for his powerful, emotive ballads and global hit "Someone You Loved."
-
E.
George Ezra
George Ezra is an English singer-songwriter known for his deep, soulful voice and hit songs like "Budapest" and "Shotgun."
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af681288190ba2ec52d5adb6a22 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.