Triple

T15576872
Position Surface form Disambiguated ID Type / Status
Subject The Card Counter E374391 entity
Predicate featuresCharacter P626 FINISHED
Object La Linda
La Linda is a pivotal character in the 2021 drama film "The Card Counter," serving as a mysterious financier who partners with the protagonist in high-stakes gambling schemes.
 E1164682 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: La Linda | Statement: [The Card Counter, featuresCharacter, La Linda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Linda
Context triple: [The Card Counter, featuresCharacter, La Linda]
  • A. La Nena
    "La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
  • B. La Bella
    La Bella is a celebrated Renaissance portrait painting by Titian depicting an elegantly dressed young woman, renowned for its rich color and refined beauty.
  • C. Blanquita
    Blanquita is the namesake figure—likely an influential woman or performer—after whom Mexico City’s historic Teatro Blanquita was named.
  • D. Senorita
    "Señorita" is a song featured on the album "No Way Out," known for its smooth blend of R&B and hip-hop influences.
  • E. Senorita
    "Señorita" is a dark, atmospheric hip-hop track by Vince Staples known for its menacing production and commentary on violence and survival.
  • 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: La Linda
Triple: [The Card Counter, featuresCharacter, La Linda]
Generated description
La Linda is a pivotal character in the 2021 drama film "The Card Counter," serving as a mysterious financier who partners with the protagonist in high-stakes gambling schemes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Linda
Target entity description: La Linda is a pivotal character in the 2021 drama film "The Card Counter," serving as a mysterious financier who partners with the protagonist in high-stakes gambling schemes.
  • A. La Nena
    "La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
  • B. La Bella
    La Bella is a celebrated Renaissance portrait painting by Titian depicting an elegantly dressed young woman, renowned for its rich color and refined beauty.
  • C. Blanquita
    Blanquita is the namesake figure—likely an influential woman or performer—after whom Mexico City’s historic Teatro Blanquita was named.
  • D. Senorita
    "Señorita" is a song featured on the album "No Way Out," known for its smooth blend of R&B and hip-hop influences.
  • E. Senorita
    "Señorita" is a dark, atmospheric hip-hop track by Vince Staples known for its menacing production and commentary on violence and survival.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e22c89081909b1ec0cd36a1ef45 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4978ec8190a57de5d9a2ec6653 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4d0678648190b61fbe79a60da8ec completed May 9, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff4d9258148190b21201bb09e16999 completed May 9, 2026, 3:06 p.m.
Created at: April 10, 2026, 4:11 a.m.