Triple
T23468523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big A |
E569161
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Big A |
—
|
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 A | Statement: [The Big A, alsoKnownAs, Big A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big A Context triple: [The Big A, alsoKnownAs, Big A]
-
A.
The Big A
The Big A is a major Thoroughbred horse racing venue located in Queens, New York City.
-
B.
The Big A
chosen
The Big A is the popular nickname for Angel Stadium of Anaheim, the longtime home ballpark of Major League Baseball’s Los Angeles Angels.
-
C.
Big J
Big J is the affectionate nickname for the USS New Jersey (BB-62), a famed Iowa-class battleship now preserved as a museum and memorial.
-
D.
Big G
Big G is the costumed mascot of the Harlem Globetrotters, known for entertaining crowds with comedic antics and fan interaction during the team’s exhibition basketball games.
-
E.
The Big J
The Big J is a prominent mountain in New South Wales’ Snowy Mountains, popular with hikers and backcountry skiers for its expansive alpine views.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6fd280c81908aae05f0851466eb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.