Triple
T18022320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Ross |
E431154
|
entity |
| Predicate | aunt |
P3525
|
FINISHED |
| Object | Ella Logan |
—
|
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: Ella Logan | Statement: [Annie Ross, aunt, Ella Logan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ella Logan Context triple: [Annie Ross, aunt, Ella Logan]
-
A.
Ella Logan
chosen
Ella Logan was a Scottish-born American singer and actress best known for originating the role of Sharon McLonergan in the Broadway musical "Finian's Rainbow."
-
B.
Ella Rice
Ella Rice is an American academic and former spouse of filmmaker George Lucas, known for her work in education and her connection to the early life of the Star Wars creator.
-
C.
Ella Rice
Ella Rice was the first wife of American business magnate and aviator Howard Hughes, whom he married in the 1920s before his rise to great fame.
-
D.
Ella Blake
Ella Blake is the young niece of FBI agent Olivia Dunham in the television series "Fringe."
-
E.
Ella Purnell
Ella Purnell is a British actress known for roles in films like "Miss Peregrine's Home for Peculiar Children" and series such as "Yellowjackets" and "Fallout."
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c3a2c48190bbe4a0581466cd2f |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.