Triple

T523989
Position Surface form Disambiguated ID Type / Status
Subject American Gangster E10877 entity
Predicate castMember P1668 FINISHED
Object Lymari Nadal
Lymari Nadal is a Puerto Rican actress and producer best known for her role in the crime film "American Gangster."
 E65186 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: Lymari Nadal | Statement: [American Gangster, castMember, Lymari Nadal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lymari Nadal
Context triple: [American Gangster, castMember, Lymari Nadal]
  • A. Lina Ruz González
    Lina Ruz González was a Cuban woman best known as the mother of revolutionary leaders Fidel and Raúl Castro.
  • B. Claudia Castello
    Claudia Castello is a Brazilian film editor best known for her work on major feature films including the boxing drama "Creed."
  • C. Lolita Pulido
    Lolita Pulido is the spirited young Californio noblewoman who serves as Don Diego Vega’s love interest in Johnston McCulley’s Zorro stories, notably in "The Mark of Zorro."
  • D. Vanessa Tolosa
    Vanessa Tolosa is a biomedical engineer and neurotechnology researcher known for her work on implantable brain–computer interface devices and contributions to companies like Neuralink.
  • E. Manuela Veloso
    Manuela Veloso is a prominent computer scientist and roboticist known for her pioneering work in artificial intelligence and multi-agent robotics.
  • 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: Lymari Nadal
Triple: [American Gangster, castMember, Lymari Nadal]
Generated description
Lymari Nadal is a Puerto Rican actress and producer best known for her role in the crime film "American Gangster."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lymari Nadal
Target entity description: Lymari Nadal is a Puerto Rican actress and producer best known for her role in the crime film "American Gangster."
  • A. Lina Ruz González
    Lina Ruz González was a Cuban woman best known as the mother of revolutionary leaders Fidel and Raúl Castro.
  • B. Claudia Castello
    Claudia Castello is a Brazilian film editor best known for her work on major feature films including the boxing drama "Creed."
  • C. Lolita Pulido
    Lolita Pulido is the spirited young Californio noblewoman who serves as Don Diego Vega’s love interest in Johnston McCulley’s Zorro stories, notably in "The Mark of Zorro."
  • D. Vanessa Tolosa
    Vanessa Tolosa is a biomedical engineer and neurotechnology researcher known for her work on implantable brain–computer interface devices and contributions to companies like Neuralink.
  • E. Manuela Veloso
    Manuela Veloso is a prominent computer scientist and roboticist known for her pioneering work in artificial intelligence and multi-agent robotics.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b656c08190b387f21b06d99e68 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ab224e008190b233b04b0a432b83 completed March 1, 2026, 9:09 p.m.
NEDg Description generation batch_69a4ab94bd988190a91a592622a9d77f completed March 1, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69a4ac04fb78819093c85d04b90cc8cb completed March 1, 2026, 9:13 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.