Triple

T12734243
Position Surface form Disambiguated ID Type / Status
Subject Asaf Ali E304320 entity
Predicate givenName P17 FINISHED
Object Asaf
Asaf is a masculine given name used in various cultures, notably in South Asia and the Middle East.
E1001148 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: Asaf | Statement: [Asaf Ali, givenName, Asaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asaf
Context triple: [Asaf Ali, givenName, Asaf]
  • A. Yair
    Yair is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities worldwide.
  • B. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • C. Yariv
    Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
  • D. Avishai
    Avishai is a Hebrew given name, often used in Jewish communities, that can be shortened to Avi.
  • E. Nadim
    Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
  • 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: Asaf
Triple: [Asaf Ali, givenName, Asaf]
Generated description
Asaf is a masculine given name used in various cultures, notably in South Asia and the Middle East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asaf
Target entity description: Asaf is a masculine given name used in various cultures, notably in South Asia and the Middle East.
  • A. Yair
    Yair is a masculine given name of Hebrew origin, commonly used in Israel and among Jewish communities worldwide.
  • B. Rafi
    Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
  • C. Yariv
    Yariv is a Hebrew surname most notably associated with Amnon Yariv, a prominent physicist and pioneer in optoelectronics and photonics.
  • D. Avishai
    Avishai is a Hebrew given name, often used in Jewish communities, that can be shortened to Avi.
  • E. Nadim
    Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646902408190b29268d864833b80 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8e2dbc81909c1c85ca699a2679 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67d888d7c8190b9aaeb877984a403 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67e0f48e4819085905564f5540f37 completed May 2, 2026, 10:43 p.m.
Created at: April 9, 2026, 5:26 p.m.