Triple

T15380853
Position Surface form Disambiguated ID Type / Status
Subject Jordan Edward Rogers E367794 entity
Predicate givenName P17 FINISHED
Object Jordan
Jordan is a common given name used for people of any gender 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 Edward Rogers, givenName, Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jordan
Context triple: [Jordan Edward Rogers, givenName, Jordan]
  • A. Jordan
    Jordan is a scientist known for formally describing the bacterial genus Bradyrhizobium.
  • B. Jordan
    "Jordan" is a song featured on Emmylou Harris's bluegrass-influenced album "Roses in the Snow."
  • 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. Jordan
    Jordan is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
  • E. Jordan
    Jordan was a Formula One racing team and constructor known for launching the careers of several top drivers and competing in the sport during the 1990s and early 2000s.
  • 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 Edward Rogers, givenName, Jordan]
Generated description
Jordan is a common given name used for people of any gender 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 for people of any gender in many English-speaking and other countries.
  • A. Jordan chosen
    Jordan is a common given name used by people of all genders in many English-speaking and other countries.
  • 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 scientist known for formally describing the bacterial genus Bradyrhizobium.
  • D. Jordan
    Jordan is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
  • E. Jordan
    Jordan is a small community in the town of Lincoln, Ontario, known for its wineries, fruit farms, and scenic location on the Niagara Peninsula.
  • F. None of above.

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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b43bfcc8190b1b373ee10786f1e completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0bd62b308190b835ec76aba4b8cc completed May 9, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69ff0c3e7b848190942cfa9d4b7bbd4c completed May 9, 2026, 10:28 a.m.
Created at: April 10, 2026, 3:19 a.m.