Triple

T19078284
Position Surface form Disambiguated ID Type / Status
Subject Stories of Abraham E466958 entity
Predicate hasEpisode P6968 FINISHED
Object Abraham and Abimelech
"Abraham and Abimelech" is a biblical narrative recounting Abraham’s interactions and covenant with King Abimelech, highlighting themes of divine protection, honesty, and peaceful relations.
E1357070 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: Abraham and Abimelech | Statement: [Stories of Abraham, hasEpisode, Abraham and Abimelech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abraham and Abimelech
Context triple: [Stories of Abraham, hasEpisode, Abraham and Abimelech]
  • A. Abram
    Abram is a village and civil parish in the Metropolitan Borough of Wigan in Greater Manchester, England.
  • B. Abram
    Abram is the middle name of James A. Garfield, the 20th president of the United States.
  • C. Abram
    Abram is a masculine given name of Hebrew origin, historically associated with the biblical patriarch later named Abraham.
  • D. Avram
    Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
  • E. Abraham
    "Abraham" is a popular Irving Berlin song, best known for its performance by Bing Crosby and others in classic Hollywood musicals.
  • 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: Abraham and Abimelech
Triple: [Stories of Abraham, hasEpisode, Abraham and Abimelech]
Generated description
"Abraham and Abimelech" is a biblical narrative recounting Abraham’s interactions and covenant with King Abimelech, highlighting themes of divine protection, honesty, and peaceful relations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abraham and Abimelech
Target entity description: "Abraham and Abimelech" is a biblical narrative recounting Abraham’s interactions and covenant with King Abimelech, highlighting themes of divine protection, honesty, and peaceful relations.
  • A. Abram
    Abram is a masculine given name of Hebrew origin, historically associated with the biblical patriarch later named Abraham.
  • B. Abram
    Abram is a village and civil parish in the Metropolitan Borough of Wigan in Greater Manchester, England.
  • C. Abram
    Abram is the middle name of James A. Garfield, the 20th president of the United States.
  • D. Avram
    Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
  • E. Abraham
    Abraham is the given first name of Abraham Washington Attell, better known as Abe Attell, a prominent early 20th-century American professional boxer and featherweight champion.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e61b60819092d42614f04a087c completed April 20, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d3625a0881908e9019aa33c2b7e4 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d48dc4288190b1d814602a094eea completed May 14, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a05d574f2a481909a5d42d77d6a7b19 completed May 14, 2026, 2 p.m.
Created at: April 10, 2026, 12:04 p.m.