Triple
T9554183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella Fox |
E230498
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stella Fox |
E230498
|
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 Fox | Statement: [Stella Fox, name, Stella Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Fox Context triple: [Stella Fox, name, Stella Fox]
-
A.
Stella Fox
chosen
Stella Fox is the daughter of American actress Taryn Power and a member of the extended Power acting family.
-
B.
Stella Stevens
Stella Stevens was an American actress and model best known for her roles in 1960s and 1970s films and television, including prominent performances in major Hollywood productions.
-
C.
Margot Pipkin
Margot Pipkin is a film producer known for her work on the animated feature "Mickey, Donald, Goofy: The Three Musketeers."
-
D.
Margot Merrill
Margot Merrill is the adopted daughter of legendary American actress Bette Davis (born Ruth Elizabeth Davis).
-
E.
Claire de Loone
Claire de Loone is a prim, intellectual anthropologist and one of the three main female leads in the classic Broadway musical "On the Town."
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd992412148190b092bd9918764d5f |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189ebe80c819099602cc6dedd3769 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:02 p.m.