Triple

T20477267
Position Surface form Disambiguated ID Type / Status
Subject Onslow Stevens E502349 entity
Predicate spouse P13 FINISHED
Object Isabel La Mal
Isabel La Mal was an American actress known for her character roles in mid-20th-century film and television.
E1432550 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: Isabel La Mal | Statement: [Onslow Stevens, spouse, Isabel La Mal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabel La Mal
Context triple: [Onslow Stevens, spouse, Isabel La Mal]
  • A. Izabel
    Izabel is a feminine given name, commonly used in various cultures as a variant of Isabel or Isabella.
  • B. Izabella
    "Izabella" is a rock song by Jimi Hendrix, known for its heavy guitar riffs and association with his late-1960s live performances.
  • C. Ilse Witch
    Ilse Witch is a powerful and feared sorceress who serves as a central antagonist in Terry Brooks's Shannara fantasy series.
  • D. Contessa
    Contessa is a character in Tennessee Williams’ novella and its film adaptation "The Roman Spring of Mrs. Stone," representing the sophisticated, manipulative world of Roman high society.
  • E. Violante
    Violante was a 14th-century Italian noblewoman of the powerful Visconti family of Milan, known for her politically significant marriages into European royalty.
  • 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: Isabel La Mal
Triple: [Onslow Stevens, spouse, Isabel La Mal]
Generated description
Isabel La Mal was an American actress known for her character roles in mid-20th-century film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Isabel La Mal
Target entity description: Isabel La Mal was an American actress known for her character roles in mid-20th-century film and television.
  • A. Izabel
    Izabel is a feminine given name, commonly used in various cultures as a variant of Isabel or Isabella.
  • B. Izabella
    "Izabella" is a rock song by Jimi Hendrix, known for its heavy guitar riffs and association with his late-1960s live performances.
  • C. Ilse Witch
    Ilse Witch is a powerful and feared sorceress who serves as a central antagonist in Terry Brooks's Shannara fantasy series.
  • D. Contessa
    Contessa is a character in Tennessee Williams’ novella and its film adaptation "The Roman Spring of Mrs. Stone," representing the sophisticated, manipulative world of Roman high society.
  • E. Violante
    Violante was a 14th-century Italian noblewoman of the powerful Visconti family of Milan, known for her politically significant marriages into European royalty.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69966b9748190a5296d8ab03c07a1 completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b2359a88190bd1d74a298e56857 completed May 16, 2026, 3:20 p.m.
NEDg Description generation batch_6a088c3db5fc8190942a51ecd96e22fa completed May 16, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a088cad8f6c819086c52adc846def8b completed May 16, 2026, 3:26 p.m.
Created at: April 16, 2026, 11:34 a.m.