Triple
T17661122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailey lemma |
E440253
|
entity |
| Predicate | hasConcept |
P531
|
FINISHED |
| Object | Bailey pair |
—
|
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: Bailey pair | Statement: [Bailey lemma, hasConcept, Bailey pair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bailey pair Context triple: [Bailey lemma, hasConcept, Bailey pair]
-
A.
Bailey pairs
chosen
Bailey pairs are specific sequences of numbers used in the theory of basic hypergeometric series and q-series, forming the foundational building blocks for Bailey chains and related identities in combinatorics and number theory.
-
B.
Paar
Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
-
C.
Paar
"Paar" is a critically acclaimed Indian film directed by Goutam Ghose, known for its stark portrayal of social injustice and rural hardship.
-
D.
Paar
Paar is a river in Bavaria, Germany, known for flowing through several towns and rural landscapes before joining the Danube.
-
E.
Sziklai pair
The Sziklai pair is a two-transistor configuration that functions like a Darlington pair but uses complementary transistors to achieve high current gain with a lower base-emitter voltage.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea67f8081909da164ca21a98675 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:43 a.m.