Triple
T5101972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Professor |
E114999
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Álvaro Morte |
E115621
|
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: Álvaro Morte | Statement: [The Professor, portrayedBy, Álvaro Morte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Álvaro Morte Context triple: [The Professor, portrayedBy, Álvaro Morte]
-
A.
Álvaro Morte
chosen
Álvaro Morte is a Spanish actor best known internationally for portraying "The Professor" in the hit series *Money Heist* (La Casa de Papel).
-
B.
Miguel Gomez
Miguel Gomez is an American actor best known for his role as boxer Miguel "Magic" Escobar in the 2015 sports drama film "Southpaw."
-
C.
Samu García
Samu García is a Spanish professional footballer known for playing as a winger in La Liga.
-
D.
Gerónimo Peña
Gerónimo Peña is a former Dominican professional baseball second baseman who played in Major League Baseball in the 1990s, primarily for the St. Louis Cardinals.
-
E.
Gabriel Luna
Gabriel Luna is an American actor best known for roles in projects like Marvel’s Agents of S.H.I.E.L.D., Terminator: Dark Fate, and the HBO adaptation of The Last of Us.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7584ed408190a6d1086588f24faa |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba8d24388190882b9933a2a798c4 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.