Triple
T23486781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Howland |
E570554
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Beth Howland |
—
|
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: Beth Howland | Statement: [Beth Howland, name, Beth Howland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Howland Context triple: [Beth Howland, name, Beth Howland]
-
A.
Beth Howland
chosen
Beth Howland was an American actress best known for her role as the high-strung waitress Vera Louise Gorman on the long-running sitcom "Alice."
-
B.
Emily Howland
Emily Howland was a prominent 19th- and early 20th-century American educator, abolitionist, and women's rights advocate known for her work in establishing schools for formerly enslaved people.
-
C.
Hannah Howland
Hannah Howland was a daughter of Mayflower passenger John Howland, belonging to one of the early colonial families of Plymouth Colony.
-
D.
Cheryl Reeve
Cheryl Reeve is a highly successful WNBA coach best known for leading the Minnesota Lynx to multiple league championships.
-
E.
Kathy Auriemma
Kathy Auriemma is the wife of legendary University of Connecticut women's basketball coach Geno Auriemma and is known for her long-standing support and presence alongside him throughout his career.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a754825481909b005ca5654c3159 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:04 p.m.