Triple

T15973257
Position Surface form Disambiguated ID Type / Status
Subject Yara Shahidi E387375 entity
Predicate givenName P17 FINISHED
Object Yara
Yara is a given name most prominently associated with American actress and activist Yara Shahidi.
E1186682 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: Yara | Statement: [Yara Shahidi, givenName, Yara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yara
Context triple: [Yara Shahidi, givenName, Yara]
  • A. Yara
    Yara is a municipality in eastern Cuba known for its historical significance in the country’s struggle for independence.
  • B. Tona
    Tona is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
  • C. Zea Marina
    Zea Marina is a prominent yacht and leisure marina in Piraeus, Greece, known for its modern facilities and proximity to Athens.
  • D. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • E. Seama
    Seama is a small unincorporated community in Cibola County, New Mexico, associated with the Laguna Pueblo.
  • 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: Yara
Triple: [Yara Shahidi, givenName, Yara]
Generated description
Yara is a given name most prominently associated with American actress and activist Yara Shahidi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yara
Target entity description: Yara is a given name most prominently associated with American actress and activist Yara Shahidi.
  • A. Yara
    Yara is a municipality in eastern Cuba known for its historical significance in the country’s struggle for independence.
  • B. Tona
    Tona is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
  • C. Zea Marina
    Zea Marina is a prominent yacht and leisure marina in Piraeus, Greece, known for its modern facilities and proximity to Athens.
  • D. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • E. Seama
    Seama is a small unincorporated community in Cibola County, New Mexico, associated with the Laguna Pueblo.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572a8fd8819092ae1766324b1345 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8afa288190838cb35b8a4fcf50 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3f40288190a59646124e06a864 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfdfe58c8190b5964b6f5812ef65 completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:54 a.m.