Triple

T21040413
Position Surface form Disambiguated ID Type / Status
Subject Esma Cannon E518305 entity
Predicate givenName P17 FINISHED
Object Esma
Esma is a feminine given name used in various cultures, often derived from Arabic roots meaning "name" or "supreme."
 E1463129 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: Esma | Statement: [Esma Cannon, givenName, Esma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Esma
Context triple: [Esma Cannon, givenName, Esma]
  • A. Emina
    Emina is a feminine given name, commonly used in Bosnian and other South Slavic cultures, that is a variant of the name Emine.
  • B. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • C. Aziza
    Aziza is a central fictional character in the television miniseries "The Dovekeepers," which dramatizes the lives of women during the siege of Masada in ancient Judea.
  • D. Basma
    Basma is a feminine given name commonly used in Arabic-speaking countries, meaning "smile."
  • E. Nazret
    Nazret, also known as Adama, is a major city in central Ethiopia that serves as an important commercial and transportation hub.
  • 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: Esma
Triple: [Esma Cannon, givenName, Esma]
Generated description
Esma is a feminine given name used in various cultures, often derived from Arabic roots meaning "name" or "supreme."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Esma
Target entity description: Esma is a feminine given name used in various cultures, often derived from Arabic roots meaning "name" or "supreme."
  • A. Emina
    Emina is a feminine given name, commonly used in Bosnian and other South Slavic cultures, that is a variant of the name Emine.
  • B. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • C. Aziza
    Aziza is a central fictional character in the television miniseries "The Dovekeepers," which dramatizes the lives of women during the siege of Masada in ancient Judea.
  • D. Basma
    Basma is a feminine given name commonly used in Arabic-speaking countries, meaning "smile."
  • E. Nazret
    Nazret, also known as Adama, is a major city in central Ethiopia that serves as an important commercial and transportation hub.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fceed9148190903adb3b55f65242 completed April 21, 2026, 4:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a094750de6081908ab711d77777be6c completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a09480efc2c819085f4c0fdb2c3533b completed May 17, 2026, 4:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0948daf03881908b080ed95acdeed0 completed May 17, 2026, 4:49 a.m.
Created at: April 16, 2026, 2:15 p.m.