Triple
T8121730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Gheorghiu |
E189625
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tosca (Floria Tosca) |
E269215
|
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: Tosca (Floria Tosca) | Statement: [Angela Gheorghiu, notableWork, Tosca (Floria Tosca)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tosca (Floria Tosca) Context triple: [Angela Gheorghiu, notableWork, Tosca (Floria Tosca)]
-
A.
Tosca
chosen
Tosca is a feminine given name of Italian origin, best known today through its association with Giacomo Puccini’s opera and various contemporary bearers.
-
B.
Simon Boccanegra
Simon Boccanegra is an opera by Giuseppe Verdi that tells the politically charged and emotionally complex story of a 14th-century Genoese doge.
-
C.
Carmen
Carmen is a feminine given name of Latin origin, widely used in Spanish-speaking cultures and beyond.
-
D.
Carmen
Carmen is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
-
E.
Carmen
Carmen is a pivotal character in the 1986 film "The Color of Money," serving as the savvy and manipulative girlfriend-manager of young pool hustler Vincent Lauria.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb435b72888190ad6330b375ed1eff |
completed | March 31, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9454ccb48190b0f894bed5da8a01 |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:33 p.m.