Triple

T5892088
Position Surface form Disambiguated ID Type / Status
Subject Avi E131013 entity
Predicate shortFormOf P43 FINISHED
Object Avishai
Avishai is a Hebrew given name, often used in Jewish communities, that can be shortened to Avi.
 E552829 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: Avishai | Statement: [Avi, shortFormOf, Avishai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avishai
Context triple: [Avi, shortFormOf, Avishai]
  • A. Harel Weinstein
    Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
  • B. Ze'ev
    Ze'ev is a Hebrew given name meaning "wolf," commonly used in Israel and among Jewish communities worldwide.
  • C. Roni Ashuri
    Roni Ashuri is an entrepreneur and technology executive best known as a founder of the Israeli high-performance networking company Mellanox Technologies.
  • D. Yariv
    Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
  • E. Eli Segal
    Eli Segal was an American political strategist and nonprofit leader known for his senior roles in Democratic campaigns and for helping launch major national service initiatives like AmeriCorps.
  • 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: Avishai
Triple: [Avi, shortFormOf, Avishai]
Generated description
Avishai is a Hebrew given name, often used in Jewish communities, that can be shortened to Avi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avishai
Target entity description: Avishai is a Hebrew given name, often used in Jewish communities, that can be shortened to Avi.
  • A. Harel Weinstein
    Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
  • B. Ze'ev
    Ze'ev is a Hebrew given name meaning "wolf," commonly used in Israel and among Jewish communities worldwide.
  • C. Roni Ashuri
    Roni Ashuri is an entrepreneur and technology executive best known as a founder of the Israeli high-performance networking company Mellanox Technologies.
  • D. Yariv
    Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
  • E. Eli Segal
    Eli Segal was an American political strategist and nonprofit leader known for his senior roles in Democratic campaigns and for helping launch major national service initiatives like AmeriCorps.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b45bec81908a13f39bbc181a59 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b14c2ff081908243988d5815be6d completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b1fabe448190be7d93b1f8c17c2a completed March 23, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c0b29fbec8819092b117bd40e3731f completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:58 p.m.