Triple
T13128349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella Kowalski |
E311901
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stella |
E225546
|
NE FINISHED |
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: Stella | Statement: [Stella Kowalski, givenName, Stella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Context triple: [Stella Kowalski, givenName, Stella]
-
A.
Stella
Stella is the central character in the British television drama film "Gideon's Daughter," around whom the story's emotional and familial conflicts revolve.
-
B.
Stella
Stella is a key character in Guy Ritchie's crime film "RocknRolla," known as a sharp, stylish accountant entangled in the London underworld.
-
C.
Stella
chosen
Stella is a feminine given name of Latin origin meaning "star," used internationally and popularized in various cultures and media.
-
D.
Stella
Stella is a British comedy-drama television series created by and starring Ruth Jones, set in a small Welsh town and centered on the life of a warm-hearted single mother.
-
E.
Stella
Stella is one of the three iconic Faraglioni sea stacks off the coast of Capri, Italy, renowned for its dramatic limestone cliffs rising from the Mediterranean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819aac388190b59bf43cc6a49d0c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28e922881909584296adc95d9b4 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:07 p.m.