Triple
T19781956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quiz Show |
E475155
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Elizabeth Wilson |
—
|
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: Elizabeth Wilson | Statement: [Quiz Show, stars, Elizabeth Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Wilson Context triple: [Quiz Show, stars, Elizabeth Wilson]
-
A.
Elizabeth Wilson
Elizabeth Wilson was the wife of American composer and playwright Meredith Willson, known for her association with the creator of the Broadway musical "The Music Man."
-
B.
Elizabeth Wilson
chosen
Elizabeth Wilson was an American actress known for her versatile character roles on stage, film, and television, including performances in "The Graduate" and "9 to 5."
-
C.
Anna Wilson
Anna Wilson is known as the sister of former child actress and writer Mara Wilson.
-
D.
Sarah Wilson
Sarah Wilson is the namesake of Wilson College, historically recognized for her significance to the institution’s founding or early development.
-
E.
Emily Wilkinson
Emily Wilkinson is an American social media personality and former patient coordinator best known as the wife of NFL quarterback Baker Mayfield.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653846a248190adc4afe0dc29a402 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.