Triple
T20037276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Warner |
E497308
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Julie Warner |
—
|
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: Julie Warner | Statement: [Julie Warner, name, Julie Warner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Warner Context triple: [Julie Warner, name, Julie Warner]
-
A.
Julie Warner
chosen
Julie Warner is an American actress best known for her roles in films such as "Doc Hollywood" and "Mr. Saturday Night" and for her work in various television series.
-
B.
Julie Eldridge
Julie Eldridge is a character from the horror anthology film "Trilogy of Terror."
-
C.
Liza Warner
Liza Warner is a fictional character in the Arrowverse television series "Arrow," portrayed by actress Rutina Wesley.
-
D.
Julie Morton
Julie Morton is a character in the holiday comedy-drama film "The Family Stone," portrayed as Everett Stone’s poised and sophisticated girlfriend who struggles to fit in with his close-knit, unconventional family.
-
E.
Julie Glenn
Julie Glenn is an actress best known for her role in the French coming-of-age film "L'Effrontée."
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e935ac8190900cdb4f0cfde505 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.