Triple

T3812070
Position Surface form Disambiguated ID Type / Status
Subject Omar E93158 entity
Predicate variantForm P4680 FINISHED
Object Omer
Omer is a given name and surname used in various cultures, often as a variant of Omar, with roots in Arabic and Hebrew traditions.
 E389746 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: Omer | Statement: [Omar, variantForm, Omer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Omer
Context triple: [Omar, variantForm, Omer]
  • A. Zimran
    Zimran is a lesser-known biblical figure mentioned in the Hebrew Bible as one of Abraham's sons by his wife Keturah.
  • B. Shobab
    Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
  • C. Malchi-shua
    Malchi-shua was one of King Saul’s sons, a Hebrew prince mentioned in the Bible who died alongside his father in battle against the Philistines.
  • D. Dagan
    Dagan is an ancient Northwest Semitic god, particularly revered by the Amorites and later in Mesopotamia, commonly associated with grain, fertility, and sometimes the underworld.
  • E. Zerach
    Zerach is a masculine given name of Hebrew origin, borne by several notable Jewish figures including rabbis, politicians, and scholars.
  • 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: Omer
Triple: [Omar, variantForm, Omer]
Generated description
Omer is a given name and surname used in various cultures, often as a variant of Omar, with roots in Arabic and Hebrew traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Omer
Target entity description: Omer is a given name and surname used in various cultures, often as a variant of Omar, with roots in Arabic and Hebrew traditions.
  • A. Zimran
    Zimran is a lesser-known biblical figure mentioned in the Hebrew Bible as one of Abraham's sons by his wife Keturah.
  • B. Shobab
    Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
  • C. Malchi-shua
    Malchi-shua was one of King Saul’s sons, a Hebrew prince mentioned in the Bible who died alongside his father in battle against the Philistines.
  • D. Dagan
    Dagan is an ancient Northwest Semitic god, particularly revered by the Amorites and later in Mesopotamia, commonly associated with grain, fertility, and sometimes the underworld.
  • E. Zerach
    Zerach is a masculine given name of Hebrew origin, borne by several notable Jewish figures including rabbis, politicians, and scholars.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee8db8a288190afd1e3b9dcf02e97 completed March 9, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb3a69908190ba8e7ac37c8ca0f8 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fbf52fc88190a54ba5b374b2cdad completed March 14, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69b4fc6847e88190b6590aa2e56c8903 completed March 14, 2026, 6:12 a.m.
Created at: March 9, 2026, 3:16 p.m.