Triple

T585929
Position Surface form Disambiguated ID Type / Status
Subject Avram Glazer E15156 entity
Predicate givenName P17 FINISHED
Object Avram
Avram is a masculine given name of Hebrew origin, commonly associated with the biblical patriarch Abraham and used in various Jewish and Eastern European communities.
 E643 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: Avram | Statement: [Avram Glazer, givenName, Avram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avram
Context triple: [Avram Glazer, givenName, Avram]
  • A. Avram
    Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
  • B. Abraham
    Abraham is the given name of Abraham Lincoln, the 16th president of the United States who led the country through the Civil War and abolished slavery.
  • C. Abraham
    Abraham is a foundational patriarch in the Hebrew Bible, revered as the ancestor of the Israelites and a central figure in Jewish religious tradition.
  • D. Eliezer
    Eliezer is the Hebrew given name of Elie Wiesel, the Holocaust survivor, author, and Nobel Peace Prize laureate.
  • E. Isaac
    Isaac is a masculine given name of Hebrew origin, traditionally interpreted to mean "he will laugh" or "laughter."
  • 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: Avram
Triple: [Avram Glazer, givenName, Avram]
Generated description
Avram is a masculine given name of Hebrew origin, commonly associated with the biblical patriarch Abraham and used in various Jewish and Eastern European communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avram
Target entity description: Avram is a masculine given name of Hebrew origin, commonly associated with the biblical patriarch Abraham and used in various Jewish and Eastern European communities.
  • A. Avram chosen
    Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
  • B. Abraham
    Abraham is the given name of Abraham Lincoln, the 16th president of the United States who led the country through the Civil War and abolished slavery.
  • C. Abraham
    Abraham is a foundational patriarch in the Hebrew Bible, revered as the ancestor of the Israelites and a central figure in Jewish religious tradition.
  • D. Eliezer
    Eliezer is the Hebrew given name of Elie Wiesel, the Holocaust survivor, author, and Nobel Peace Prize laureate.
  • E. Isaac
    Isaac is a masculine given name of Hebrew origin, traditionally interpreted to mean "he will laugh" or "laughter."
  • F. None of above.

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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9a46388190a094b9ebf8dec397 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e25f4e4819081c8973b0f24dec0 completed March 2, 2026, 4:12 a.m.
NEDg Description generation batch_69a50ea21c54819099975c66b97f97f3 completed March 2, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_69a50f2e06288190a8ddf49310ee2790 completed March 2, 2026, 4:16 a.m.
Created at: March 1, 2026, 7:33 p.m.