Triple

T11290347
Position Surface form Disambiguated ID Type / Status
Subject John Romero E267307 entity
Predicate familyName P18 FINISHED
Object Romero
Romero is a common Spanish-origin surname borne by numerous notable individuals across fields such as sports, arts, and entertainment.
 E915592 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: [John Romero, familyName, Romero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Romero
Context triple: [John 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. Guzman
    Guzman is a Spanish surname of likely toponymic origin that has been borne by numerous notable figures across history and the Spanish-speaking world.
  • E. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • 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: [John Romero, familyName, Romero]
Generated description
Romero is a common Spanish-origin surname borne by numerous notable individuals across fields such as sports, arts, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Romero
Target entity description: Romero is a common Spanish-origin surname borne by numerous notable individuals across fields such as sports, arts, and entertainment.
  • 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. Guzman
    Guzman is a Spanish surname of likely toponymic origin that has been borne by numerous notable figures across history and the Spanish-speaking world.
  • E. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98875a08190b8509fe55e49d52d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f49badc88190a3195e919900f0c3 completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4f95cbc7c819082e3d7c3c3266708 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff73f3348190abfd28f716c61105 completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:32 p.m.