Triple
T13206003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | And Now! |
E314359
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Plum Nellie |
E1027119
|
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: Plum Nellie | Statement: [And Now!, hasPart, Plum Nellie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plum Nellie Context triple: [And Now!, hasPart, Plum Nellie]
-
A.
Plum Nellie
chosen
Plum Nellie is a soul-jazz instrumental track featured on the album "Soul Dressing" by Booker T. & the M.G.'s.
-
B.
Nellie
Nellie is the familiar nickname of Nellie Connally, the former First Lady of Texas who was riding in the car with President John F. Kennedy during his assassination in 1963.
-
C.
Nellie
Nellie is the given first name of the American actress, singer, and television host Polly Bergen.
-
D.
Nellie
Nellie is a central character in the British period drama series "Lark Rise to Candleford," which portrays life in a rural English community in the late 19th century.
-
E.
Nellie Bellflower
Nellie Bellflower is an American actress and film producer best known for producing the acclaimed 2004 film "Finding Neverland."
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9b0cf08190a1d71cc94139539d |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff1a3d68819089ad35f8f9ff5c5a |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:17 p.m.