Triple
T19225358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Fair of Texas |
E480724
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Big Tex |
—
|
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: Big Tex | Statement: [State Fair of Texas, hasMascot, Big Tex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Tex Context triple: [State Fair of Texas, hasMascot, Big Tex]
-
A.
Big Tex
chosen
Big Tex is a towering cowboy-themed statue that serves as the iconic mascot and symbol of the State Fair of Texas in Dallas.
-
B.
Big Tex statue
The Big Tex statue is a towering cowboy figure that serves as the iconic symbol and greeter of the annual State Fair of Texas in Dallas.
-
C.
Big Ed
Big Ed is the nickname of Ed Walsh, a Hall of Fame Major League Baseball pitcher renowned for his dominant spitball in the early 20th century.
-
D.
Big Ed
Big Ed was the nickname of Ed Sabol, the pioneering founder of NFL Films who revolutionized the way American football was presented on television.
-
E.
Jumbo Joe
Jumbo Joe is the longtime NHL star Joe Thornton, a high-scoring playmaking center known for his size, vision, and lengthy career with teams like the Boston Bruins and San Jose Sharks.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa97287c8190b85184a512a9c960 |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:24 p.m.