Triple
T4501697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ivors Classical Awards |
E101233
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Anna Meredith |
E218004
|
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: Anna Meredith | Statement: [The Ivors Classical Awards, notableRecipient, Anna Meredith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Meredith Context triple: [The Ivors Classical Awards, notableRecipient, Anna Meredith]
-
A.
Anna Meredith
chosen
Anna Meredith is a British composer, producer, and performer known for her genre-blending work that spans contemporary classical music, electronic music, and experimental pop.
-
B.
Meredith Palmer
Meredith Palmer is a socially inappropriate, hard-drinking supplier relations representative at Dunder Mifflin in the U.S. version of The Office.
-
C.
Meghan McDermott
Meghan McDermott is an American public relations and communications professional best known for her marriage to actor Theo Rossi.
-
D.
Elizabeth Prall
Elizabeth Prall was an American bookseller and literary figure best known for her marriage to modernist writer Sherwood Anderson.
-
E.
Mia Dolan
Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56f9dca08190b926f40e201a3e97 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f71de7081908520ebb81d184e0c |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1 p.m.