Triple
T14799610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Kinney |
E347870
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object | Poptropica |
E1120723
|
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: Poptropica | Statement: [Jeff Kinney, creatorOf, Poptropica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poptropica Context triple: [Jeff Kinney, creatorOf, Poptropica]
-
A.
Poptropica
chosen
Poptropica is an online role-playing game and virtual world for children featuring themed islands, story-driven quests, and educational adventures.
-
B.
DreamVille
DreamVille is the official campsite and vibrant mini-city where Tomorrowland festival attendees stay, featuring themed areas, entertainment, and communal facilities.
-
C.
Little Girl Island
Little Girl Island is the English meaning of the Spanish name "Isla Nena," often used as a poetic or affectionate reference to the Puerto Rican island of Vieques.
-
D.
Trinket Island
Trinket Island is a small island in India’s remote Nicobar archipelago in the eastern Indian Ocean.
-
E.
Playdom
Playdom was a social gaming company best known for developing popular games for platforms like Facebook before being acquired by The Walt Disney Company.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389183a881908e6af44b71f81ace |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:31 a.m.