Triple

T13415647
Position Surface form Disambiguated ID Type / Status
Subject Mary E313204 entity
Predicate featuresArtist P1952 FINISHED
Object Silky Pablo
Silky Pablo is a musical artist known for collaborating with Mary.
E1039380 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: Silky Pablo | Statement: [Mary, featuresArtist, Silky Pablo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silky Pablo
Context triple: [Mary, featuresArtist, Silky Pablo]
  • A. Pablo
    Pablo is a given name, especially common in Spanish-speaking countries, that corresponds to the English name Paul.
  • B. Paco
    Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
  • C. Totó
    Totó is a young boy who serves as one of the central child protagonists in Gabriel García Márquez’s short story "Light Is Like Water."
  • D. Totó
    Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • E. Carmelito
    Carmelito is a track from the album "Ghost of a Dog" by the American alternative rock band Edie Brickell & New Bohemians.
  • 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: Silky Pablo
Triple: [Mary, featuresArtist, Silky Pablo]
Generated description
Silky Pablo is a musical artist known for collaborating with Mary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Silky Pablo
Target entity description: Silky Pablo is a musical artist known for collaborating with Mary.
  • A. Pablo
    Pablo is a given name, especially common in Spanish-speaking countries, that corresponds to the English name Paul.
  • B. Paco
    Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
  • C. Totó
    Totó is a young boy who serves as one of the central child protagonists in Gabriel García Márquez’s short story "Light Is Like Water."
  • D. Totó
    Totó is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
  • E. Carmelito
    Carmelito is a track from the album "Ghost of a Dog" by the American alternative rock band Edie Brickell & New Bohemians.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb6e904819098cc9153fd2feaf5 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308095548190afb659b84f2775f2 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f73242a368819080ceda37583c0d7c completed May 3, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69f732b3ba748190b2a430300e798ed8 completed May 3, 2026, 11:34 a.m.
Created at: April 9, 2026, 9:39 p.m.