Triple

T676680
Position Surface form Disambiguated ID Type / Status
Subject Omar Bradley E13092 entity
Predicate givenName P17 FINISHED
Object Omar
Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
E93158 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: Omar | Statement: [Omar Bradley, givenName, Omar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omar
Context triple: [Omar Bradley, givenName, Omar]
  • A. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • B. Mustafa
    Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
  • C. Ibrahim
    Ibrahim is the name used in Islamic tradition for the prophet Abraham, a central patriarchal figure revered in Judaism, Christianity, and Islam.
  • D. Malik
    Malik is a common Arabic surname and given name used across various cultures, often meaning "king" or "owner."
  • E. Ahmed
    Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
  • 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: Omar
Triple: [Omar Bradley, givenName, Omar]
Generated description
Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Omar
Target entity description: Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
  • A. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • B. Mustafa
    Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
  • C. Ibrahim
    Ibrahim is the name used in Islamic tradition for the prophet Abraham, a central patriarchal figure revered in Judaism, Christianity, and Islam.
  • D. Malik
    Malik is a common Arabic surname and given name used across various cultures, often meaning "king" or "owner."
  • E. Ahmed
    Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04b2ae881908a5c23453bef8572 completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6732d5a208190ac9e0f3d0fab7a0d completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a6739699e481909b4c13b0894a268f completed March 3, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_69a673e60a8081908565fd51993b5a4f completed March 3, 2026, 5:38 a.m.
Created at: March 1, 2026, 7:36 p.m.