Triple
T10007295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shameika |
E198284
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Amy Aileen Wood |
E891953
|
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: Amy Aileen Wood | Statement: [Shameika, producer, Amy Aileen Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Aileen Wood Context triple: [Shameika, producer, Amy Aileen Wood]
-
A.
Amy Aileen Wood
chosen
Amy Aileen Wood is a musician and recording engineer best known for her production and instrumental work on Fiona Apple’s critically acclaimed album "Fetch the Bolt Cutters."
-
B.
Elizabeth Carolyn Vought
Elizabeth Carolyn Vought was the wife of American sociologist and botanist Lester Frank Ward.
-
C.
Georgia Ann Wiedemeier
Georgia Ann Wiedemeier is best known as the wife of American author Robert James Waller, who wrote the bestselling novel "The Bridges of Madison County."
-
D.
Michelle Woods
Michelle Woods is known as the wife of American actor Jeffrey Donovan, recognized for his role in the television series "Burn Notice."
-
E.
Amanda Woods
Amanda Woods is a successful but emotionally guarded Los Angeles movie trailer producer who swaps homes with a British woman over Christmas in the romantic comedy film "The Holiday."
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd187fe481908556ea896c528ea4 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e215ac56248190a75ad5ceb8152d5a |
completed | April 17, 2026, 11:12 a.m. |
Created at: March 30, 2026, 8:52 p.m.