Triple

T3640711
Position Surface form Disambiguated ID Type / Status
Subject Sarah Shahi E77180 entity
Predicate givenName P17 FINISHED
Object Aahoo
Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
 E375809 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: Aahoo | Statement: [Sarah Shahi, givenName, Aahoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aahoo
Context triple: [Sarah Shahi, givenName, Aahoo]
  • A. Hau
    Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
  • B. Aha
    Aha is an early Egyptian pharaoh, often identified with the legendary Menes, who is traditionally credited with unifying Upper and Lower Egypt and founding the First Dynasty.
  • C. Aka-Bo
    Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • D. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • E. Baaka
    Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
  • 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: Aahoo
Triple: [Sarah Shahi, givenName, Aahoo]
Generated description
Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aahoo
Target entity description: Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
  • A. Hau
    Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
  • B. Aha
    Aha is an early Egyptian pharaoh, often identified with the legendary Menes, who is traditionally credited with unifying Upper and Lower Egypt and founding the First Dynasty.
  • C. Aka-Bo
    Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • D. Hannut
    Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
  • E. Baaka
    Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc357c3308190bd8801d68244a53e completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f2a8a5c8190b84dcf4b4b8a939e completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b45292546c81909770dcd6239dbda3 completed March 13, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69b45f76fcc48190bab9bc6ce83700eb completed March 13, 2026, 7:03 p.m.
Created at: March 8, 2026, 3:24 p.m.