Triple

T22217769
Position Surface form Disambiguated ID Type / Status
Subject Javier Cámara E549121 entity
Predicate familyName P18 FINISHED
Object Cámara
Cámara is a Spanish surname most notably borne by acclaimed film and television actor Javier Cámara.
 E1525464 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: Cámara | Statement: [Javier Cámara, familyName, Cámara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cámara
Context triple: [Javier Cámara, familyName, Cámara]
  • A. Cámara
    Cámara is an Argentine Navy officer known for his service in Argentina's naval forces.
  • B. Kamer
    Kamer is the Dutch term commonly used to refer to the Belgian Chamber of Representatives, the lower house of the country's federal parliament.
  • C. Kameri
    Kameri is an alternative name for the place known as Kamerawadi, likely a village or locality in India.
  • D. Camira
    Camira is a residential suburb located within the Ipswich City Council area in South East Queensland, Australia.
  • E. Camira
    Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
  • 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: Cámara
Triple: [Javier Cámara, familyName, Cámara]
Generated description
Cámara is a Spanish surname most notably borne by acclaimed film and television actor Javier Cámara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cámara
Target entity description: Cámara is a Spanish surname most notably borne by acclaimed film and television actor Javier Cámara.
  • A. Cámara
    Cámara is an Argentine Navy officer known for his service in Argentina's naval forces.
  • B. Kamer
    Kamer is the Dutch term commonly used to refer to the Belgian Chamber of Representatives, the lower house of the country's federal parliament.
  • C. Kameri
    Kameri is an alternative name for the place known as Kamerawadi, likely a village or locality in India.
  • D. Camira
    Camira is a residential suburb located within the Ipswich City Council area in South East Queensland, Australia.
  • E. Camira
    Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8ddb448190a45f0418d813afd0 completed April 28, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae6b0cf88190a6d4dee77804e47c completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0aaefd48d48190a87ccf0417d1b991 completed May 18, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0aafcd0e148190a5bf048d28fdbddc completed May 18, 2026, 6:21 a.m.
Created at: April 16, 2026, 8:37 p.m.