Triple
T22022816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattel, Inc. |
E543883
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | UNO card game |
—
|
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: UNO card game | Statement: [Mattel, Inc., notableProduct, UNO card game]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNO card game Context triple: [Mattel, Inc., notableProduct, UNO card game]
-
A.
UNO
UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
-
B.
UNO
UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
-
C.
UNO
chosen
UNO is a popular shedding-type card game known for its colorful cards and simple, fast-paced play, published by Mattel.
-
D.
Jeu de cartes
"Jeu de cartes" is a ballet choreographed by John Cranko, set to Igor Stravinsky’s score of the same name and structured around the theme of a game of cards.
-
E.
Deck of Cards
"Deck of Cards" is a country and spoken-word narrative song, popularized by Tex Ritter, that tells the story of a soldier who uses a deck of playing cards as a substitute for the Bible and a devotional guide.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c8ac6881909a9e96e0873a3ae2 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.