Triple
T19326937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big N |
E483382
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The Big N |
—
|
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: The Big N | Statement: [The Big N, title, The Big N]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big N Context triple: [The Big N, title, The Big N]
-
A.
The Big N
chosen
The Big N is a large-scale abstract geometric painting by American artist Al Held, exemplifying his bold use of color, form, and spatial illusion.
-
B.
The Big A
The Big A is a major Thoroughbred horse racing venue located in Queens, New York City.
-
C.
The Big A
The Big A is the popular nickname for Angel Stadium of Anaheim, the longtime home ballpark of Major League Baseball’s Los Angeles Angels.
-
D.
The Big Bam
The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
-
E.
The Big Store
The Big Store is a 1941 Marx Brothers comedy film featuring their trademark slapstick, wordplay, and musical numbers set in a chaotic department store.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163e3a5081909195192356bcebc3 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.