Triple
T4826284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris |
E107832
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Cassandra |
E84806
|
NE FINISHED |
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, sibling, Cassandra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassandra Context triple: [Paris, sibling, Cassandra]
-
A.
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.
-
B.
Cassandane
Cassandane was a Persian noblewoman of the Achaemenid dynasty, best known as the queen consort of Cyrus the Great and mother of his successor Cambyses II.
-
C.
Cass
Cass is the given name of Cass Sunstein, a prominent American legal scholar known for his work in constitutional law, behavioral economics, and public policy.
-
D.
Cleo
Cleo is a key supporting character in the musical "The Most Happy Fella," often portrayed as a lively, comedic waitress and confidante.
-
E.
Cleo
Cleo is the indigenous live-in housekeeper and emotional center of Alfonso Cuarón’s film "Roma," whose personal struggles unfold against the backdrop of 1970s Mexico City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6caf22308190a2048ec6acfa5af2 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dcd3ecc8190a5223f00344019ff |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.