Triple

T10917980
Position Surface form Disambiguated ID Type / Status
Subject Carla's Song E257872 entity
Predicate starredActor P5563 FINISHED
Object Oyanka Cabezas
Oyanka Cabezas is an actress best known for her role in Ken Loach’s 1996 film "Carla's Song."
 E894465 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: Oyanka Cabezas | Statement: [Carla's Song, starredActor, Oyanka Cabezas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oyanka Cabezas
Context triple: [Carla's Song, starredActor, Oyanka Cabezas]
  • A. Ana Topete
    Ana Topete is a notable individual recognized as a prominent bearer of the Topete surname.
  • B. Concepción Tutuapa
    Concepción Tutuapa is a highland municipality in western Guatemala known for its predominantly indigenous Mam population and traditional agricultural economy.
  • C. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • D. Tato Melgar
    Tato Melgar is a percussionist best known for performing with the American rock band Lukas Nelson & Promise of the Real.
  • E. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • 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: Oyanka Cabezas
Triple: [Carla's Song, starredActor, Oyanka Cabezas]
Generated description
Oyanka Cabezas is an actress best known for her role in Ken Loach’s 1996 film "Carla's Song."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oyanka Cabezas
Target entity description: Oyanka Cabezas is an actress best known for her role in Ken Loach’s 1996 film "Carla's Song."
  • A. Ana Topete
    Ana Topete is a notable individual recognized as a prominent bearer of the Topete surname.
  • B. Concepción Tutuapa
    Concepción Tutuapa is a highland municipality in western Guatemala known for its predominantly indigenous Mam population and traditional agricultural economy.
  • C. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • D. Tato Melgar
    Tato Melgar is a percussionist best known for performing with the American rock band Lukas Nelson & Promise of the Real.
  • E. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7707ebdcc8190b42cafe21c667c82 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2170bb97c81908e8d209ddb630601 completed April 17, 2026, 11:18 a.m.
NEDg Description generation batch_69e21d8952c881908a952de83754e049 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e2247fbd348190bb0d221923dac892 completed April 17, 2026, 12:16 p.m.
Created at: April 8, 2026, 9:22 p.m.