Triple

T23123701
Position Surface form Disambiguated ID Type / Status
Subject Moshe Trani E576967 entity
Predicate hasAlias P455 FINISHED
Object Mabit
Mabit is the rabbinic alias of Moshe Trani, a prominent 16th-century Talmudic scholar and halakhic authority based in Safed.
 E1570917 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: Mabit | Statement: [Moshe Trani, hasAlias, Mabit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mabit
Context triple: [Moshe Trani, hasAlias, Mabit]
  • A. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • B. Mabika
    Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
  • C. Mabor
    Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
  • D. Molibagu
    Molibagu is a town in North Sulawesi, Indonesia, serving as the administrative and economic center of South Bolaang Mongondow Regency.
  • E. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • 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: Mabit
Triple: [Moshe Trani, hasAlias, Mabit]
Generated description
Mabit is the rabbinic alias of Moshe Trani, a prominent 16th-century Talmudic scholar and halakhic authority based in Safed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mabit
Target entity description: Mabit is the rabbinic alias of Moshe Trani, a prominent 16th-century Talmudic scholar and halakhic authority based in Safed.
  • A. Matabaan
    Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
  • B. Mabika
    Mabika is the surname of Mwadi Mabika, a notable Congolese basketball player who competed internationally and in the WNBA.
  • C. Mabor
    Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
  • D. Molibagu
    Molibagu is a town in North Sulawesi, Indonesia, serving as the administrative and economic center of South Bolaang Mongondow Regency.
  • E. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e5299c08190a578102cf2ff7080 completed April 29, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23f25dec8190984bc2dafd008a48 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271e8a8c8190ba994f557f077288 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27d3befc8190bc7a3697bc0e817b completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:59 p.m.