Triple
T18502382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria Blondell |
E452109
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Blondell |
—
|
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: Blondell | Statement: [Gloria Blondell, familyName, Blondell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blondell Context triple: [Gloria Blondell, familyName, Blondell]
-
A.
Blondell
chosen
Blondell is a surname most notably associated with American actress Joan Blondell, a popular film and stage star of the 1930s and 1940s.
-
B.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
C.
Bornette
Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
-
D.
Braidley
Braidley is a small rural settlement located in Coverdale in the Yorkshire Dales of northern England.
-
E.
Breen
Breen is a surname of Irish origin borne by various notable individuals across fields such as film censorship, sports, and academia.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c535908190bdc90c58fc5bdaf7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:36 a.m.