Triple
T20078183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris |
E499926
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Cassandra |
—
|
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: Cassandra | Statement: [Paris, hasSibling, Cassandra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassandra Context triple: [Paris, hasSibling, Cassandra]
-
A.
Cassandra
"Cassandra" is a song by Florence + The Machine from their album "Dance Fever," blending mythic lyricism with dramatic, atmospheric indie rock.
-
B.
Cassandra
chosen
Cassandra is a figure from Greek mythology, a Trojan princess and prophetess cursed to utter true prophecies that no one would ever believe.
-
C.
Cassandra
"Cassandra" is a song by Taylor Swift from her album *The Tortured Poets Department*, likely exploring themes of foresight, disbelief, and emotional turmoil inspired by the mythological figure Cassandra.
-
D.
Cassandra
Cassandra is a highly scalable, distributed NoSQL database designed for handling large amounts of data across many commodity servers with no single point of failure.
-
E.
Cassandra
Cassandra is a character from T. S. Eliot’s "Old Possum’s Book of Practical Cats" and the musical "Cats," portrayed as one of the elegant Jellicle cats.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643e216c819088c002fc1de2772a |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.