Triple
T22672945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon (Money Heist) |
E560269
|
entity |
| Predicate | aliasOf |
P39
|
FINISHED |
| Object | Raquel Murillo |
—
|
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: Raquel Murillo | Statement: [Lisbon (Money Heist), aliasOf, Raquel Murillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raquel Murillo Context triple: [Lisbon (Money Heist), aliasOf, Raquel Murillo]
-
A.
Raquel Murillo
chosen
Raquel Murillo is a central character in the Spanish series "Money Heist," initially a police inspector who later joins the Professor's gang and adopts the alias Lisbon.
-
B.
Carla García
Carla García is one of the four Dominican-American sisters whose coming-of-age experiences in the United States are central to Julia Alvarez’s novel "How the García Girls Lost Their Accents."
-
C.
Yolanda Díaz
Yolanda Díaz is a Spanish labor lawyer and left-wing politician who has served as Spain’s Second Deputy Prime Minister and Minister of Labour and Social Economy.
-
D.
Sofía Correa
Sofía Correa is a daughter of former Ecuadorian president Rafael Correa.
-
E.
Sila María Calderón
Sila María Calderón is a Puerto Rican politician who served as the island’s first female governor from 2001 to 2005.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17821daf88190b18a73a222fc22fb |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.