Triple
T18016589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RetinaNet |
E431010
|
entity |
| Predicate | trainingDataset |
P21227
|
FINISHED |
| Object | MS COCO |
—
|
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: MS COCO | Statement: [RetinaNet, trainingDataset, MS COCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MS COCO Context triple: [RetinaNet, trainingDataset, MS COCO]
-
A.
COCO
chosen
COCO is a large-scale, richly annotated image dataset widely used in computer vision research for tasks like object detection, segmentation, and captioning.
-
B.
Nicoo
Nicoo is an alternative spelling or variant form of the name Nico, often used as a personal or online nickname.
-
C.
Coco O.
Coco O. is a Danish singer and songwriter best known as one half of the neo-soul duo Quadron.
-
D.
Mamá Coco
Mamá Coco is the elderly, soft-spoken great-grandmother whose memories and family ties are central to the emotional core of Pixar’s animated film "Coco."
-
E.
Cocom Maya
The Cocom Maya were a powerful Maya dynasty and polity in the Yucatán Peninsula, known for ruling from the city of Mayapán and resisting Spanish conquest in the 16th century.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9be5d0c819097e006f32d98753a |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.