Triple

T15479617
Position Surface form Disambiguated ID Type / Status
Subject Kassis E376879 entity
Predicate hasNotableBearer P458 FINISHED
Object Samir Kassis
Samir Kassis is a notable individual recognized as a prominent bearer of the surname Kassis.
E1161648 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: Samir Kassis | Statement: [Kassis, hasNotableBearer, Samir Kassis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samir Kassis
Context triple: [Kassis, hasNotableBearer, Samir Kassis]
  • A. Samir Bannout
    Samir Bannout is a Lebanese-American professional bodybuilder best known for winning the 1983 Mr. Olympia title and for his exceptionally detailed back development.
  • B. Samir Hammoud
    Samir Hammoud is a person notable enough to be specifically identified as a bearer of the surname Hammoud.
  • C. Fawaz Akhras
    Fawaz Akhras is a London-based Syrian cardiologist best known as the father of Syria’s First Lady, Asma al-Assad.
  • D. Nabil Hammoud
    Nabil Hammoud is an individual recognized as a notable bearer of the surname Hammoud.
  • E. Issam Nassar
    Issam Nassar is a Palestinian historian and scholar known for his work on the history of photography in Palestine and the broader Middle East.
  • 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: Samir Kassis
Triple: [Kassis, hasNotableBearer, Samir Kassis]
Generated description
Samir Kassis is a notable individual recognized as a prominent bearer of the surname Kassis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samir Kassis
Target entity description: Samir Kassis is a notable individual recognized as a prominent bearer of the surname Kassis.
  • A. Samir Bannout
    Samir Bannout is a Lebanese-American professional bodybuilder best known for winning the 1983 Mr. Olympia title and for his exceptionally detailed back development.
  • B. Samir Hammoud
    Samir Hammoud is a person notable enough to be specifically identified as a bearer of the surname Hammoud.
  • C. Fawaz Akhras
    Fawaz Akhras is a London-based Syrian cardiologist best known as the father of Syria’s First Lady, Asma al-Assad.
  • D. Nabil Hammoud
    Nabil Hammoud is an individual recognized as a notable bearer of the surname Hammoud.
  • E. Issam Nassar
    Issam Nassar is a Palestinian historian and scholar known for his work on the history of photography in Palestine and the broader Middle East.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8a77a081909f12f13660452f4a completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4661088190bb53161247effcc4 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3e5643088190a9b001ef815ddd3a completed May 9, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f4456f88190b7fc9b853b0155e4 completed May 9, 2026, 2:05 p.m.
Created at: April 10, 2026, 3:34 a.m.