Triple
T20699836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Phoenix |
E508749
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Patricia Phoenix |
—
|
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: Patricia Phoenix | Statement: [Pat Phoenix, alsoKnownAs, Patricia Phoenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Phoenix Context triple: [Pat Phoenix, alsoKnownAs, Patricia Phoenix]
-
A.
Patricia Phoenix
chosen
Patricia Phoenix was a prominent English actress best known for her iconic role as Elsie Tanner in the long-running television soap opera "Coronation Street."
-
B.
Chynna Phillips
Chynna Phillips is an American singer and actress best known as a member of the pop group Wilson Phillips.
-
C.
Sarah Miles
Sarah Miles is an English actress known for her roles in films such as "Ryan's Daughter" and "Blow-Up."
-
D.
Calista Flockhart
Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
-
E.
Shawnee Smith
Shawnee Smith is an American actress and singer best known for her role as Amanda Young in the Saw horror film franchise.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18a77308190b7c2517d82a145cd |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.