Triple

T12937599
Position Surface form Disambiguated ID Type / Status
Subject Tarare E309553 entity
Predicate hasMayor P185 FINISHED
Object Roberto Romero
Roberto Romero is a local political figure who serves as the mayor of the French commune of Tarare.
E1089435 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: Roberto Romero | Statement: [Tarare, hasMayor, Roberto Romero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberto Romero
Context triple: [Tarare, hasMayor, Roberto Romero]
  • A. Roberto Reyes
    Roberto Reyes is a Marvel Comics character who becomes the supernatural antihero Ghost Rider, known for driving a flaming muscle car instead of the traditional motorcycle.
  • B. Roberto Henríquez
    Roberto Henríquez is an editor known for his work on the film "Brave."
  • C. Sergio Reyes
    Sergio Reyes is a music producer known for his work on the album "Standing in the Spotlight."
  • D. Ramiro Rodriguez
    Ramiro Rodriguez is an American actor best known for his role in the inspirational sports drama film "McFarland, USA."
  • E. Néstor Torres
    Néstor Torres is a Puerto Rican jazz and Latin jazz flutist known for his virtuosic playing and fusion of Afro-Caribbean, classical, and contemporary styles.
  • 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: Roberto Romero
Triple: [Tarare, hasMayor, Roberto Romero]
Generated description
Roberto Romero is a local political figure who serves as the mayor of the French commune of Tarare.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roberto Romero
Target entity description: Roberto Romero is a local political figure who serves as the mayor of the French commune of Tarare.
  • A. Roberto Reyes
    Roberto Reyes is a Marvel Comics character who becomes the supernatural antihero Ghost Rider, known for driving a flaming muscle car instead of the traditional motorcycle.
  • B. Roberto Henríquez
    Roberto Henríquez is an editor known for his work on the film "Brave."
  • C. Sergio Reyes
    Sergio Reyes is a music producer known for his work on the album "Standing in the Spotlight."
  • D. Ramiro Rodriguez
    Ramiro Rodriguez is an American actor best known for his role in the inspirational sports drama film "McFarland, USA."
  • E. Néstor Torres
    Néstor Torres is a Puerto Rican jazz and Latin jazz flutist known for his virtuosic playing and fusion of Afro-Caribbean, classical, and contemporary styles.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc8c0848190946e109ec98e4479 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3237ccf88190974ff1a49c3a874b completed May 8, 2026, 12:45 a.m.
NEDg Description generation batch_69fd339f04f48190abd13b7ce459c931 completed May 8, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69fd341b65e481908cd39e64e52583eb completed May 8, 2026, 12:53 a.m.
Created at: April 9, 2026, 5:43 p.m.