Triple
T19582562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrie Barker |
E490031
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Kate Barker |
—
|
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: Kate Barker | Statement: [Arrie Barker, alternateName, Kate Barker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Barker Context triple: [Arrie Barker, alternateName, Kate Barker]
-
A.
Kate Barker
chosen
Kate Barker, better known as Ma Barker, was an American criminal figure infamous for leading the Barker–Karpis gang during the early 20th century.
-
B.
Sophie Hunter
Sophie Hunter is a British theatre and opera director, playwright, and former actress known for her avant-garde stage work and marriage to actor Benedict Cumberbatch.
-
C.
Jennifer Bourke
Jennifer Bourke is known as the spouse of actor Robert Shaw.
-
D.
Kate Lynch
Kate Lynch is a Canadian actress best known for her role in the 1979 comedy film "Meatballs."
-
E.
Laura Carmichael
Laura Carmichael is a British actress best known for her role as Lady Edith Crawley in the television series "Downton Abbey."
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6404e18f88190b7fec59499dd25e8 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.