Triple
T20699752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antony Booth |
E508747
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Pat Phoenix |
—
|
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: Pat Phoenix | Statement: [Antony Booth, spouse, Pat Phoenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pat Phoenix Context triple: [Antony Booth, spouse, Pat Phoenix]
-
A.
Pat Phoenix
chosen
Pat Phoenix was a celebrated English actress best known for originating the iconic role of Elsie Tanner on the long-running television soap opera Coronation Street.
-
B.
Patricia Phoenix
Patricia Phoenix was a prominent English actress best known for her iconic role as Elsie Tanner in the long-running television soap opera "Coronation Street."
-
C.
Elizabeth Phoenix Caro
Elizabeth Phoenix Caro is an American child actress known for her role in the ensemble comedy film "Dog Days" (2018).
-
D.
Rachel Scott
Rachel Scott was a 17-year-old student, aspiring writer, and the first person killed in the Columbine High School shooting, later remembered for her journals and advocacy for kindness.
-
E.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18a77308190b7c2517d82a145cd |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.