Triple
T13517027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cattleya |
E322786
|
entity |
| Predicate | adaptedFrom |
P1926
|
FINISHED |
| Object | Suburra (novel) |
E428547
|
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: Suburra (novel) | Statement: [Cattleya, adaptedFrom, Suburra (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suburra (novel) Context triple: [Cattleya, adaptedFrom, Suburra (novel)]
-
A.
Suburra
chosen
Suburra is a 2015 Italian crime film that explores the violent intersection of politics, organized crime, and real estate corruption in Rome.
-
B.
El Morocho del Abasto
El Morocho del Abasto is a famous nickname for Carlos Gardel, the iconic early 20th-century tango singer and film star closely associated with Buenos Aires.
-
C.
Rosario de Mora
Rosario de Mora is a municipality located in the San Salvador Department of El Salvador.
-
D.
El Boquerón
El Boquerón is the prominent volcanic crater and surrounding national park located on the San Salvador Volcano in El Salvador.
-
E.
Las Retamas
Las Retamas is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Alcorcón area in the Madrid metropolitan region.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75496496c819093a9e763d293bcf7 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.