Triple

T640668
Position Surface form Disambiguated ID Type / Status
Subject Hebrew alphabet E16731 entity
Predicate hasFinalFormLetters P17610 FINISHED
Object Mem
Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
 E80508 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: Mem | Statement: [Hebrew alphabet, hasFinalFormLetters, Mem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mem
Context triple: [Hebrew alphabet, hasFinalFormLetters, Mem]
  • A. Mind
    Mind is a leading peer-reviewed philosophy journal, especially known for influential work in analytic philosophy and the philosophy of language.
  • B. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • C. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • D. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • E. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • 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: Mem
Triple: [Hebrew alphabet, hasFinalFormLetters, Mem]
Generated description
Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mem
Target entity description: Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
  • A. Mind
    Mind is a leading peer-reviewed philosophy journal, especially known for influential work in analytic philosophy and the philosophy of language.
  • B. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • C. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • D. Nut
    Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
  • E. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a515ceb081908c064b2082047c0f completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5778daa0881908311823d8db543ae completed March 2, 2026, 11:42 a.m.
NEDg Description generation batch_69a5782a4d208190b2147ce5b4441204 completed March 2, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_69a578e8e5488190933524b39c6053ba completed March 2, 2026, 11:47 a.m.
Created at: March 1, 2026, 7:35 p.m.