Triple

T4012447
Position Surface form Disambiguated ID Type / Status
Subject Alexander Jannaeus E90676 entity
Predicate alsoKnownAs P39 FINISHED
Object Yannai
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
 E406292 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: Yannai | Statement: [Alexander Jannaeus, alsoKnownAs, Yannai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yannai
Context triple: [Alexander Jannaeus, alsoKnownAs, Yannai]
  • A. Devdas
    Devdas is a classic Bengali novel by Sarat Chandra Chattopadhyay that tells the tragic love story of a wealthy young man unable to unite with his childhood sweetheart, making it one of the most iconic works in Indian literature and cinema.
  • B. Fanaa
    Fanaa is a 2006 Indian romantic thriller film that blends love and terrorism, starring Aamir Khan and Kajol.
  • C. Badal
    Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
  • D. Dilan
    Dilan is a given name shared by various individuals, including Dutch politician Dilan Yeşilgöz-Zegerius.
  • E. Nal o Daman
    Nal o Daman is a celebrated Persian masnavi (narrative poem) by the Mughal court poet Faizi, renowned for its romantic and allegorical storytelling.
  • 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: Yannai
Triple: [Alexander Jannaeus, alsoKnownAs, Yannai]
Generated description
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yannai
Target entity description: Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
  • A. Devdas
    Devdas is a classic Bengali novel by Sarat Chandra Chattopadhyay that tells the tragic love story of a wealthy young man unable to unite with his childhood sweetheart, making it one of the most iconic works in Indian literature and cinema.
  • B. Fanaa
    Fanaa is a 2006 Indian romantic thriller film that blends love and terrorism, starring Aamir Khan and Kajol.
  • C. Badal
    Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
  • D. Dilan
    Dilan is a given name shared by various individuals, including Dutch politician Dilan Yeşilgöz-Zegerius.
  • E. Nal o Daman
    Nal o Daman is a celebrated Persian masnavi (narrative poem) by the Mughal court poet Faizi, renowned for its romantic and allegorical storytelling.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa893ce08190b8fe49a11123738d completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c70eb7c8190bc5c4086b756c9c4 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d1898d48190b717a17ad366918d completed March 14, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69b54ded2e6c8190a6dc9ce2f5d474b8 completed March 14, 2026, noon
Created at: March 9, 2026, 3:34 p.m.