Triple
T20488401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru, Indiana |
E502671
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Circus City |
—
|
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: Circus City | Statement: [Peru, Indiana, nickname, Circus City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Circus City Context triple: [Peru, Indiana, nickname, Circus City]
-
A.
Cirkus
Cirkus is a musical group known for its experimental, genre-blending sound and for featuring Swedish singer Neneh Cherry as a key member.
-
B.
Circus Capital of the World
chosen
Circus Capital of the World is a nickname for Peru, Indiana, reflecting its historic role as a major center for American circus winter quarters and performances.
-
C.
Circus
"Circus" is a 1995 rock album by American musician Lenny Kravitz, known for its blend of classic rock, soul, and funk influences.
-
D.
Circus
Circus is the informal name for the British intelligence service in John le Carré’s spy novels, serving as the workplace and operational hub of master spy George Smiley.
-
E.
Circus
"Circus" is a 1936 Soviet musical comedy film directed by Grigori Aleksandrov, celebrated for its satirical take on racism and its iconic performance by Lyubov Orlova.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5c6f84819087d813be3542ed33 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.