Triple
T20161325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pegasus |
E491709
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Aquarius |
—
|
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: Aquarius | Statement: [Pegasus, borderedBy, Aquarius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aquarius Context triple: [Pegasus, borderedBy, Aquarius]
-
A.
Aquarius
Aquarius is a track featured on the album "Electric Circus" by Common.
-
B.
Aquarius
"Aquarius" is a television drama series in which Brían F. O'Byrne appears, set in late-1960s Los Angeles and centered around the rise of Charles Manson and his followers.
-
C.
Aquarius
Aquarius is a 2016 Brazilian drama film directed by Kleber Mendonça Filho, starring Sonia Braga as a retired music critic fighting to keep her apartment from a predatory real estate company.
-
D.
Aquarius
chosen
Aquarius is a prominent zodiac constellation in the southern sky, traditionally depicted as a water-bearer pouring water.
-
E.
Aquarius
Aquarius is a sports drink brand owned by The Coca-Cola Company, popular in various international markets as a hydrating beverage for active consumers.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e43940819080f6a0b7331aaab0 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.