Triple
T5071051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles Franklin |
E114278
|
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: [Miles Franklin, givenName, Stella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Context triple: [Miles Franklin, 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 an American comedy trio and sketch group best known for its absurdist humor and for featuring comedians Michael Ian Black, Michael Showalter, and David Wain.
-
E.
Stella
Stella is a small municipality in the Liguria region of northwestern Italy, situated in the hilly inland area near the Ligurian coast.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74a0aa048190ba01281f1b160609 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb10bb740819099797240c9f35eb9 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.