Triple
T15998396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAW Patrol: The Movie |
E388033
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Laura Clunie |
E388033
|
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: Laura Clunie | Statement: [PAW Patrol: The Movie, producer, Laura Clunie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Clunie Context triple: [PAW Patrol: The Movie, producer, Laura Clunie]
-
A.
Laura Clunie
chosen
Laura Clunie is a film producer best known for her work on the animated feature "PAW Patrol: The Movie."
-
B.
Dawn Sturgess
Dawn Sturgess was a British woman who died in 2018 after being exposed to the nerve agent Novichok in Amesbury, England, following the Salisbury poisonings.
-
C.
Celeste Van Dien
Celeste Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
D.
Colleen Anne Fitzpatrick
Colleen Anne Fitzpatrick is an Australian actress known for her work in film, television, and theatre.
-
E.
Jillian Bell
Jillian Bell is an American comedian, actress, and writer known for her sharp, offbeat humor in films and TV shows such as "Workaholics," "22 Jump Street," and "Brittany Runs a Marathon."
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157893ebc8190acb75ee05e450fae |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbca65a4819090109589dba7f7a9 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.