Triple
T13739546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Warren |
E330046
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Luca |
E40302
|
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: Luca | Statement: [Andrea Warren, notableWork, Luca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Context triple: [Andrea Warren, notableWork, Luca]
-
A.
Luca
chosen
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
-
B.
Coco
Coco is the debut studio album by American singer-songwriter Colbie Caillat, featuring her breakout hit "Bubbly" and a laid-back acoustic pop sound.
-
C.
Coco
Coco is a quirky, bird-airplane-palm-tree hybrid imaginary friend from the animated series "Foster's Home for Imaginary Friends," known for her eccentric behavior and unique way of speaking.
-
D.
Coco
Coco is a Broadway musical best known for starring Katharine Hepburn in her only stage musical role, portraying fashion designer Coco Chanel.
-
E.
Coco
Coco is a pink poodle character from the Australian children's animated series "Bluey," known for being one of Bluey’s energetic and sometimes anxious friends.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0204d50c8190a5413cc9a1b26e14 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6bce9881909209231f6dfcf9bf |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.