Triple
T20435887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meghan Trainor |
E501248
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Meghan |
—
|
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: Meghan | Statement: [Meghan Trainor, givenName, Meghan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meghan Context triple: [Meghan Trainor, givenName, Meghan]
-
A.
Meghan
chosen
Meghan is the given name of American singer-songwriter Meghan Trainor, known for her retro-influenced pop music and hit single "All About That Bass."
-
B.
Meghan, Duchess of Sussex
Meghan, Duchess of Sussex is an American former actress and member of the British royal family, married to Prince Harry, Duke of Sussex.
-
C.
Camilla Rhodes
Camilla Rhodes is a pivotal and enigmatic actress character in David Lynch's surreal neo-noir film "Mulholland Drive."
-
D.
Camilla
Camilla is a feminine given name used in various cultures, often associated with historical and literary figures.
-
E.
Camilla
Camilla is a late-18th-century novel by English writer Frances Burney that explores themes of sensibility, social expectation, and female experience in Georgian society.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ee758c8190b267b7ce71de8f8c |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.