Triple

T11276443
Position Surface form Disambiguated ID Type / Status
Subject Remedios Varo E266949 entity
Predicate familyName P18 FINISHED
Object Varo
Varo is a Spanish-Mexican surrealist painter renowned for her dreamlike, mystical imagery and contributions to 20th-century art.
 E916351 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: Varo | Statement: [Remedios Varo, familyName, Varo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Varo
Context triple: [Remedios Varo, familyName, Varo]
  • A. Tala
    Tala is a city in Egypt’s Monufia Governorate, located in the Nile Delta and serving as a local administrative and commercial center.
  • B. Tala
    Tala is the 2016 Disney animated film set in ancient Polynesia that follows the adventurous journey of a young girl chosen by the ocean to restore balance to her island.
  • C. Tala
    Tala is a landmark 1938 poetry collection by Chilean Nobel laureate Gabriela Mistral, noted for its innovative structure and exploration of themes such as motherhood, loss, and Latin American identity.
  • D. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • E. Solva
    Solva is a picturesque coastal village in Pembrokeshire, Wales, known for its sheltered harbour, colourful quayside, and popularity with walkers on the Pembrokeshire Coast Path.
  • 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: Varo
Triple: [Remedios Varo, familyName, Varo]
Generated description
Varo is a Spanish-Mexican surrealist painter renowned for her dreamlike, mystical imagery and contributions to 20th-century art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Varo
Target entity description: Varo is a Spanish-Mexican surrealist painter renowned for her dreamlike, mystical imagery and contributions to 20th-century art.
  • A. Tala
    Tala is a city in Egypt’s Monufia Governorate, located in the Nile Delta and serving as a local administrative and commercial center.
  • B. Tala
    Tala is the 2016 Disney animated film set in ancient Polynesia that follows the adventurous journey of a young girl chosen by the ocean to restore balance to her island.
  • C. Tala
    Tala is a landmark 1938 poetry collection by Chilean Nobel laureate Gabriela Mistral, noted for its innovative structure and exploration of themes such as motherhood, loss, and Latin American identity.
  • D. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • E. Solva
    Solva is a picturesque coastal village in Pembrokeshire, Wales, known for its sheltered harbour, colourful quayside, and popularity with walkers on the Pembrokeshire Coast Path.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e966cb4c8190bc410d7e623e54db completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f445792c8190962d94aa71f328d9 completed April 19, 2026, 3:27 p.m.
NEDg Description generation batch_69e4f95be4b08190bebb2078406cb7ba completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff5881b8819080f9662a0c2d486d completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:31 p.m.