Triple

T2198832
Position Surface form Disambiguated ID Type / Status
Subject Jordan Peele E50440 entity
Predicate givenName P17 FINISHED
Object Jordan
Jordan is a common given name used by people of all genders in many English-speaking and other countries.
E242718 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: Jordan | Statement: [Jordan Peele, givenName, Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordan
Context triple: [Jordan Peele, givenName, Jordan]
  • A. Jordan
    Jordan is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
  • B. Jordan
    Jordan is a Middle Eastern country located at the crossroads of Asia, Africa, and Europe, known for its ancient archaeological sites like Petra and its strategic political role in the region.
  • C. Jordan
    Jordan is a popular Nike-owned athletic footwear and apparel brand originally inspired by basketball legend Michael Jordan and known for its iconic Air Jordan sneakers.
  • D. Jordanes
    Jordanes was a 6th-century Roman bureaucrat and historian best known for his work "Getica," a key source on the history of the Goths and other barbarian peoples.
  • E. Masri
    Masri is a widely spoken modern Arabic dialect used primarily in Egypt, especially in everyday conversation and popular media.
  • 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: Jordan
Triple: [Jordan Peele, givenName, Jordan]
Generated description
Jordan is a common given name used by people of all genders in many English-speaking and other countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jordan
Target entity description: Jordan is a common given name used by people of all genders in many English-speaking and other countries.
  • A. Jordan
    Jordan is a Middle Eastern country located at the crossroads of Asia, Africa, and Europe, known for its ancient archaeological sites like Petra and its strategic political role in the region.
  • B. Jordan
    Jordan is a popular Nike-owned athletic footwear and apparel brand originally inspired by basketball legend Michael Jordan and known for its iconic Air Jordan sneakers.
  • C. Jordan
    Jordan is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
  • D. Jordanes
    Jordanes was a 6th-century Roman bureaucrat and historian best known for his work "Getica," a key source on the history of the Goths and other barbarian peoples.
  • E. Masri
    Masri is a widely spoken modern Arabic dialect used primarily in Egypt, especially in everyday conversation and popular media.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf7b65cc8190bcc5a5c52b90f33b completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db9b0208190a63a75c86ea9dcff completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e866d108190b39853172d1ed1a6 completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5edfe80481908c3304c917c9065b completed March 9, 2026, 5:47 a.m.
Created at: March 4, 2026, 7:46 p.m.