Triple

T9115191
Position Surface form Disambiguated ID Type / Status
Subject Ricardo Montalbán E218703 entity
Predicate familyName P18 FINISHED
Object Montalbán
Montalbán is a Spanish surname most famously associated with Mexican actor Ricardo Montalbán, known for his work in film and television.
 E778839 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: Montalbán | Statement: [Ricardo Montalbán, familyName, Montalbán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montalbán
Context triple: [Ricardo Montalbán, familyName, Montalbán]
  • A. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • B. Tinogasta
    Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
  • C. Roque
    Roque is a French surname notably borne by Jacqueline Roque, the second wife of Pablo Picasso.
  • D. Roque
    Roque is a key member of the black-ops team in the action film "The Losers," known for his tough, pragmatic nature and complex loyalties.
  • E. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • 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: Montalbán
Triple: [Ricardo Montalbán, familyName, Montalbán]
Generated description
Montalbán is a Spanish surname most famously associated with Mexican actor Ricardo Montalbán, known for his work in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montalbán
Target entity description: Montalbán is a Spanish surname most famously associated with Mexican actor Ricardo Montalbán, known for his work in film and television.
  • A. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • B. Tinogasta
    Tinogasta is a town in northwestern Argentina known for its wine production, hot springs, and location along the Andean mountain routes in Catamarca Province.
  • C. Roque
    Roque is a French surname notably borne by Jacqueline Roque, the second wife of Pablo Picasso.
  • D. Roque
    Roque is a key member of the black-ops team in the action film "The Losers," known for his tough, pragmatic nature and complex loyalties.
  • E. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a1340881909dc791b825e87ef2 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0306837c0819099cd77925df0848d completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d032345f948190bdcb39b18b5f569d completed April 3, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69d032a9ee18819094931cfc13b8da32 completed April 3, 2026, 9:35 p.m.
Created at: March 30, 2026, 7:16 p.m.