Triple

T7498290
Position Surface form Disambiguated ID Type / Status
Subject The Wolf Song E177188 entity
Predicate hasCharacter P2308 FINISHED
Object Lola Salazar
Lola Salazar is a fictional character appearing in the narrative of *The Wolf Song*.
E689755 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: Lola Salazar | Statement: [The Wolf Song, hasCharacter, Lola Salazar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lola Salazar
Context triple: [The Wolf Song, hasCharacter, Lola Salazar]
  • A. Lola Flores
    Lola Flores was a celebrated Spanish flamenco singer, dancer, and actress, iconic in 20th-century Spanish popular culture.
  • B. Silvia Lemus
    Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
  • C. Sofia Arreguin
    Sofia Arreguin is a member of the creative collective or group known as Wand.
  • D. Luna Encinas Cruz
    Luna Encinas Cruz is the daughter of Spanish actors Javier Bardem and Penélope Cruz.
  • E. Celina Carvajal
    Celina Carvajal, also known professionally as Lena Hall, is a Tony Award–winning American actress and singer best known for her work in Broadway musicals and rock-inspired performances.
  • 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: Lola Salazar
Triple: [The Wolf Song, hasCharacter, Lola Salazar]
Generated description
Lola Salazar is a fictional character appearing in the narrative of *The Wolf Song*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lola Salazar
Target entity description: Lola Salazar is a fictional character appearing in the narrative of *The Wolf Song*.
  • A. Lola Flores
    Lola Flores was a celebrated Spanish flamenco singer, dancer, and actress, iconic in 20th-century Spanish popular culture.
  • B. Silvia Lemus
    Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
  • C. Sofia Arreguin
    Sofia Arreguin is a member of the creative collective or group known as Wand.
  • D. Luna Encinas Cruz
    Luna Encinas Cruz is the daughter of Spanish actors Javier Bardem and Penélope Cruz.
  • E. Celina Carvajal
    Celina Carvajal, also known professionally as Lena Hall, is a Tony Award–winning American actress and singer best known for her work in Broadway musicals and rock-inspired performances.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f597a0c08190b34fa283a11d98c7 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9061d1be0819094109703ec4a99f7 completed March 29, 2026, 10:59 a.m.
NEDg Description generation batch_69c90a3ecca48190bddb3d6ec89f8b34 completed March 29, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_69c90af0a2d4819081f5da11a53cf506 completed March 29, 2026, 11:20 a.m.
Created at: March 27, 2026, 3:44 p.m.