Triple

T5101968
Position Surface form Disambiguated ID Type / Status
Subject The Professor E114999 entity
Predicate alsoKnownAs P39 FINISHED
Object Salva
Salva is the alias used by the mastermind character known as The Professor in the Spanish heist television series "Money Heist" (La Casa de Papel).
 E494508 NE FINISHED

How this triple was built (4 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: Salva | Statement: [The Professor, alsoKnownAs, Salva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salva
Context triple: [The Professor, alsoKnownAs, Salva]
  • A. SAVE
    SAVE is the stock ticker symbol for Spirit Airlines, a U.S.-based ultra-low-cost carrier known for its no-frills service model.
  • B. Save
    The Save is a river in southwestern France that flows through the Occitanie region before joining the Garonne.
  • C. SAV
    SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
  • D. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • E. SAL
    SAL is the commonly used abbreviation for the Society of Antiquaries of London, a scholarly organization dedicated to the study and preservation of the material remains of the past.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Salva
Triple: [The Professor, alsoKnownAs, Salva]
Generated description
Salva is the alias used by the mastermind character known as The Professor in the Spanish heist television series "Money Heist" (La Casa de Papel).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salva
Target entity description: Salva is the alias used by the mastermind character known as The Professor in the Spanish heist television series "Money Heist" (La Casa de Papel).
  • A. SAVE
    SAVE is the stock ticker symbol for Spirit Airlines, a U.S.-based ultra-low-cost carrier known for its no-frills service model.
  • B. Save
    The Save is a river in southwestern France that flows through the Occitanie region before joining the Garonne.
  • C. SAV
    SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
  • D. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • E. SAL
    SAL is the commonly used abbreviation for the Society of Antiquaries of London, a scholarly organization dedicated to the study and preservation of the material remains of the past.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69bebbe7e8e081909814e97001f8cf89 completed March 21, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69bebd33f25c8190a5d9b78ef71847e3 completed March 21, 2026, 3:45 p.m.
Created at: March 20, 2026, 1:41 p.m.