Triple

T9117131
Position Surface form Disambiguated ID Type / Status
Subject Cesar Romero E218748 entity
Predicate familyName P18 FINISHED
Object Romero
Romero is a Spanish-origin surname borne by many notable individuals across fields such as film, sports, and politics.
 E369923 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: Romero | Statement: [Cesar Romero, familyName, Romero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Romero
Context triple: [Cesar Romero, familyName, Romero]
  • A. Romero
    Romero is a character from the family-oriented action-adventure film "Spy Kids 3-D: Game Over," part of the popular Spy Kids movie franchise.
  • B. Raymundo
    Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
  • C. Gómez
    Gómez is a common Spanish surname widely found in Spain and Latin American countries.
  • D. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • E. Demetrio
    Demetrio is an 18th-century opera libretto by Italian poet and dramatist Pietro Metastasio, widely set to music by numerous composers of the period.
  • 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: Romero
Triple: [Cesar Romero, familyName, Romero]
Generated description
Romero is a Spanish-origin surname borne by many notable individuals across fields such as film, sports, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Romero
Target entity description: Romero is a Spanish-origin surname borne by many notable individuals across fields such as film, sports, and politics.
  • A. Romero chosen
    Romero is a character from the family-oriented action-adventure film "Spy Kids 3-D: Game Over," part of the popular Spy Kids movie franchise.
  • B. Raymundo
    Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
  • C. Gómez
    Gómez is a common Spanish surname widely found in Spain and Latin American countries.
  • D. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • E. Demetrio
    Demetrio is an 18th-century opera libretto by Italian poet and dramatist Pietro Metastasio, widely set to music by numerous composers of the period.
  • F. None of above.

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_69cca8a4c9e08190ba3603a5d00afb20 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0307299ec8190acade4f388642e23 completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d034941af48190b612bdeb4e2a1648 completed April 3, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69d035250d1481908a7a0e108360192e completed April 3, 2026, 9:46 p.m.
Created at: March 30, 2026, 7:17 p.m.