Triple
T23268925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanya and Sonia and Masha and Spike |
E588235
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Cassandra |
—
|
NE NERFINISHED |
How this triple was built (3 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: [Vanya and Sonia and Masha and Spike, featuresCharacter, Cassandra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassandra Context triple: [Vanya and Sonia and Masha and Spike, featuresCharacter, 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
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cassandra Target entity description: Cassandra is a supporting character in Christopher Durang’s comedic play "Vanya and Sonia and Masha and Spike," known for her eccentric, prophetic, and often hilariously dramatic presence.
-
A.
Cassandra
Cassandra is a figure from Greek mythology, a Trojan princess and prophetess cursed to utter true prophecies that no one would ever believe.
-
B.
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.
-
C.
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.
-
D.
Cassandra
"Cassandra" is a song by Florence + The Machine from their album "Dance Fever," blending mythic lyricism with dramatic, atmospheric indie rock.
-
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. chosen
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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957219188190b30bceffad1542da |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:44 p.m.