Triple
T20415122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dog |
E500691
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Julie Ryan |
—
|
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 Ryan | Statement: [Red Dog, hasProducer, Julie Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Ryan Context triple: [Red Dog, hasProducer, Julie Ryan]
-
A.
Julie Ryan
chosen
Julie Ryan is a film producer best known for her work on the acclaimed Australian drama "Red Dog."
-
B.
Julie Driscoll
Julie Driscoll is a British singer best known for her soulful, psychedelic rock and jazz performances in the 1960s, particularly her work with Brian Auger and the Trinity.
-
C.
Jodi Marr
Jodi Marr is a Grammy-winning American songwriter and record producer known for her work with pop artists including contributions to Mika’s debut album "Life in Cartoon Motion."
-
D.
Julie Tullis
Julie Tullis was a British high-altitude mountaineer and filmmaker known for her pioneering climbs in the Himalayas and her tragic death on K2 in 1986.
-
E.
Lucinda Jenney
Lucinda Jenney is an American character actress known for her versatile supporting roles in films and television since the 1980s.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a437eec8190a20c89a236dd5bc0 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.