Triple
T17820941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanya Lowry |
E444979
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tanya Lowry |
—
|
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: Tanya Lowry | Statement: [Tanya Lowry, name, Tanya Lowry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Lowry Context triple: [Tanya Lowry, name, Tanya Lowry]
-
A.
Tanya Lowry
chosen
Tanya Lowry is a person notable enough to be recognized as a bearer of the surname Lowry, though specific widely known public details about her are not clearly established.
-
B.
Jennifer Barlow
Jennifer Barlow is a ghostly character featured in the horror film "The Pact."
-
C.
Tanya Jones
Tanya Jones is best known as the wife of British actor and former footballer Vinnie Jones.
-
D.
Tanya Scholey
Tanya Scholey is the wife of British wildlife filmmaker and producer Keith Scholey.
-
E.
Lorna Adams
Lorna Adams is best known as the wife of legendary American comedian and television pioneer Milton Berle.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48910eb8881908db8ec08e2752d7d |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.