Triple

T8509040
Position Surface form Disambiguated ID Type / Status
Subject Marcel E201405 entity
Predicate hasDiminutive P456 FINISHED
Object Marcelino
Marcelino is a masculine given name, commonly used in Spanish- and Portuguese-speaking countries, that serves as a diminutive form of the name Marcel.
 E740093 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: Marcelino | Statement: [Marcel, hasDiminutive, Marcelino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marcelino
Context triple: [Marcel, hasDiminutive, Marcelino]
  • A. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • C. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
  • D. Severiano
    Severiano is the given name of legendary Spanish golfer Seve Ballesteros, one of the most charismatic and successful figures in golf history.
  • E. Ambrosio
    Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
  • 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: Marcelino
Triple: [Marcel, hasDiminutive, Marcelino]
Generated description
Marcelino is a masculine given name, commonly used in Spanish- and Portuguese-speaking countries, that serves as a diminutive form of the name Marcel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marcelino
Target entity description: Marcelino is a masculine given name, commonly used in Spanish- and Portuguese-speaking countries, that serves as a diminutive form of the name Marcel.
  • A. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • B. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • C. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
  • D. Severiano
    Severiano is the given name of legendary Spanish golfer Seve Ballesteros, one of the most charismatic and successful figures in golf history.
  • E. Ambrosio
    Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5df74e8819086b1445cc907e371 completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d2eef208190b505a64d01f656f4 completed April 2, 2026, 1:20 p.m.
NEDg Description generation batch_69ce6e69213c8190add7eb9cc74b1a33 completed April 2, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f28ae6481909a8a13613f3eb5e0 completed April 2, 2026, 1:29 p.m.
Created at: March 30, 2026, 6:15 p.m.