Triple
T18305802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Griscom |
E438479
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Joseph Ashburn |
—
|
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: Joseph Ashburn | Statement: [Elizabeth Griscom, spouse, Joseph Ashburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Ashburn Context triple: [Elizabeth Griscom, spouse, Joseph Ashburn]
-
A.
Joseph Ashburn
chosen
Joseph Ashburn was the second husband of American upholsterer Betsy Ross, who is widely associated with sewing the first United States flag.
-
B.
Charlie Ashby
Charlie Ashby is a member of the Winters family, a fictional family featured in the British soap opera "EastEnders."
-
C.
Joseph Stonestreet
Joseph Stonestreet is an American singer best known as an early member of the R&B group Blackstreet.
-
D.
Paul Edgecomb
Paul Edgecomb is the reflective former death row prison guard and narrator of Stephen King’s "The Green Mile," known for his moral integrity and compassion toward inmates.
-
E.
Oscar Finley
Oscar Finley is a seasoned, cynical Chicago lawyer and co-founder of the small, struggling law firm at the center of John Grisham’s legal thriller "The Litigators."
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50183394081909b86cefaaa0a3aa8 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.