Triple

T11023115
Position Surface form Disambiguated ID Type / Status
Subject Uta Hagen E260541 entity
Predicate child P120 FINISHED
Object Leticia Ferrer
Leticia Ferrer is the daughter of renowned American acting teacher and actress Uta Hagen.
E900412 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: Leticia Ferrer | Statement: [Uta Hagen, child, Leticia Ferrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leticia Ferrer
Context triple: [Uta Hagen, child, Leticia Ferrer]
  • A. Giovanna Ferrer
    Giovanna Ferrer is the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
  • B. Karin Ferrer
    Karin Ferrer is known as the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
  • C. Lorena Bernal
    Lorena Bernal is an Argentine-born Spanish actress, model, and former Miss Spain who has also worked as a television presenter.
  • D. Marisa Paredes
    Marisa Paredes is a renowned Spanish actress best known for her frequent collaborations with director Pedro Almodóvar and her prominent roles in European cinema.
  • E. Iraida Polanco
    Iraida Polanco is an actress known for her supporting role in the romantic comedy film "Two Weeks Notice."
  • 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: Leticia Ferrer
Triple: [Uta Hagen, child, Leticia Ferrer]
Generated description
Leticia Ferrer is the daughter of renowned American acting teacher and actress Uta Hagen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leticia Ferrer
Target entity description: Leticia Ferrer is the daughter of renowned American acting teacher and actress Uta Hagen.
  • A. Giovanna Ferrer
    Giovanna Ferrer is the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
  • B. Karin Ferrer
    Karin Ferrer is known as the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
  • C. Lorena Bernal
    Lorena Bernal is an Argentine-born Spanish actress, model, and former Miss Spain who has also worked as a television presenter.
  • D. Marisa Paredes
    Marisa Paredes is a renowned Spanish actress best known for her frequent collaborations with director Pedro Almodóvar and her prominent roles in European cinema.
  • E. Iraida Polanco
    Iraida Polanco is an actress known for her supporting role in the romantic comedy film "Two Weeks Notice."
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bd88188190a644adc9283cabb8 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3750917d481909e73de0bfae27827 completed April 18, 2026, 12:11 p.m.
NEDg Description generation batch_69e37ab860f48190808ba0076cfa9c98 completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e3864dd0d48190b3fd81381f5d7418 completed April 18, 2026, 1:25 p.m.
Created at: April 8, 2026, 9:25 p.m.