Triple
T12869339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julie Anne Smith |
E307806
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Julie Anne Smith |
E307806
|
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: Julie Anne Smith | Statement: [Julie Anne Smith, name, Julie Anne Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Anne Smith Context triple: [Julie Anne Smith, name, Julie Anne Smith]
-
A.
Julie Anne Smith
chosen
Julie Anne Smith, better known as Julianne Moore, is an acclaimed American actress renowned for her versatile performances in both independent films and major Hollywood productions.
-
B.
Julie Fudge
Julie Fudge is the daughter of legendary American country singer Patsy Cline and has been involved in preserving and promoting her mother's musical legacy.
-
C.
Julie Ferguson
Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
-
D.
Rachel Stevens
Rachel Stevens is an English singer, actress, and television personality best known as a member of the pop group S Club 7 and for her subsequent solo music career.
-
E.
Sue Blainey
Sue Blainey is a film editor best known for her work on the biographical comedy-drama "The Life and Death of Peter Sellers."
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708f510c8190b4c64dc340420e85 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb26eb08190912d0b44c345bf41 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.