Triple

T14170005
Position Surface form Disambiguated ID Type / Status
Subject Rabbi Shalom Messas E351180 entity
Predicate familyName P18 FINISHED
Object Messas
Messas is a Jewish family name notably associated with prominent rabbis and religious leaders, including Rabbi Shalom Messas.
 E1082941 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: Messas | Statement: [Rabbi Shalom Messas, familyName, Messas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Messas
Context triple: [Rabbi Shalom Messas, familyName, Messas]
  • A. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • B. Astún
    Astún is a ski resort in the Spanish Pyrenees known for its alpine terrain and winter sports facilities.
  • C. Marulan
    Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
  • D. Mesaoria
    Mesaoria is the central plain of Cyprus, known for its fertile agricultural land and its role as a key geographical and historical region of the island.
  • E. Gomeisa
    Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
  • 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: Messas
Triple: [Rabbi Shalom Messas, familyName, Messas]
Generated description
Messas is a Jewish family name notably associated with prominent rabbis and religious leaders, including Rabbi Shalom Messas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Messas
Target entity description: Messas is a Jewish family name notably associated with prominent rabbis and religious leaders, including Rabbi Shalom Messas.
  • A. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • B. Astún
    Astún is a ski resort in the Spanish Pyrenees known for its alpine terrain and winter sports facilities.
  • C. Marulan
    Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
  • D. Mesaoria
    Mesaoria is the central plain of Cyprus, known for its fertile agricultural land and its role as a key geographical and historical region of the island.
  • E. Gomeisa
    Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcf8bb58ac81908e66156a805edda8 completed May 7, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fcf93b528c81908c0ee11908d25574 completed May 7, 2026, 8:42 p.m.
Created at: April 10, 2026, 1:01 a.m.