Triple
T18353269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian & Sylvia (album) |
E439721
|
entity |
| Predicate | recordedBy |
P1165
|
FINISHED |
| Object | Sylvia Fricker |
E1319270
|
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: Sylvia Fricker | Statement: [Ian & Sylvia (album), recordedBy, Sylvia Fricker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Fricker Context triple: [Ian & Sylvia (album), recordedBy, Sylvia Fricker]
-
A.
Sylvia Fricker
chosen
Sylvia Fricker is a Canadian folk singer-songwriter and musician best known as half of the influential duo Ian & Sylvia.
-
B.
Brenda Fricker
Brenda Fricker is an Irish actress best known for her Academy Award–winning performance as Christy Brown’s mother in the film "My Left Foot."
-
C.
Edith Fricker
Edith Fricker was the wife of English Romantic poet Robert Southey and a member of the literary Fricker family connected with several Lake Poets.
-
D.
Brigitte Fassbaender
Brigitte Fassbaender is a renowned German mezzo-soprano and opera director celebrated for her expressive lieder interpretations and distinguished international singing career.
-
E.
Sandra Hüller
Sandra Hüller is an acclaimed German actress known for her powerful performances in films such as "Toni Erdmann" and "Anatomy of a Fall."
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d37bc08190abc9b4e8c937c914 |
completed | April 19, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77030188190ab2cdc913418a22b |
completed | May 13, 2026, 1:44 a.m. |
Created at: April 10, 2026, 10:37 a.m.