Triple

T6596579
Position Surface form Disambiguated ID Type / Status
Subject Anthony Mann E148490 entity
Predicate spouse P13 FINISHED
Object Sara Montiel
Sara Montiel was a celebrated Spanish actress and singer who became an international film star and cultural icon in the mid-20th century.
 E607157 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: Sara Montiel | Statement: [Anthony Mann, spouse, Sara Montiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sara Montiel
Context triple: [Anthony Mann, spouse, Sara Montiel]
  • A. Maribel Verdú
    Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
  • B. Ana Torrent
    Ana Torrent is a Spanish actress best known for her acclaimed childhood performances in films like "The Spirit of the Beehive" and "Cría cuervos."
  • C. Paz Vega
    Paz Vega is a Spanish actress known for her roles in films such as "Sex and Lucía," "Spanglish," and various international productions.
  • D. Isabelle Ferrer
    Isabelle Ferrer is a French woman best known for being the former wife of legendary footballer and actor Eric Cantona.
  • E. María Valverde
    María Valverde is a Spanish actress known for her roles in films such as "La flaqueza del bolchevique," "Tres metros sobre el cielo," and "Exodus: Gods and Kings."
  • 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: Sara Montiel
Triple: [Anthony Mann, spouse, Sara Montiel]
Generated description
Sara Montiel was a celebrated Spanish actress and singer who became an international film star and cultural icon in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sara Montiel
Target entity description: Sara Montiel was a celebrated Spanish actress and singer who became an international film star and cultural icon in the mid-20th century.
  • A. Maribel Verdú
    Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
  • B. Ana Torrent
    Ana Torrent is a Spanish actress best known for her acclaimed childhood performances in films like "The Spirit of the Beehive" and "Cría cuervos."
  • C. Paz Vega
    Paz Vega is a Spanish actress known for her roles in films such as "Sex and Lucía," "Spanglish," and various international productions.
  • D. Isabelle Ferrer
    Isabelle Ferrer is a French woman best known for being the former wife of legendary footballer and actor Eric Cantona.
  • E. María Valverde
    María Valverde is a Spanish actress known for her roles in films such as "La flaqueza del bolchevique," "Tres metros sobre el cielo," and "Exodus: Gods and Kings."
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeecdd4c819092b87f4c91883154 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42fc9ec8190a6bb19010337d516 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e4e9c344819099ad11c21c2e4a6e completed March 27, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6e581a4f88190b1f64033a49d1bae completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:56 p.m.