Triple

T3471345
Position Surface form Disambiguated ID Type / Status
Subject Vernon E. Jordan Jr. E73265 entity
Predicate familyName P18 FINISHED
Object Jordan E242718 NE FINISHED

How this triple was built (2 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: [Vernon E. Jordan Jr., familyName, Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordan
Context triple: [Vernon E. Jordan Jr., familyName, Jordan]
  • 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 chosen
    Jordan is a common given name used by people of all genders in many English-speaking and other countries.
  • 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. Madyan
    Madyan is a scenic hill town and tourist resort in Pakistan’s Swat Valley, known for its cool climate, river views, and surrounding mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3af0cc81909e575828caeaeae0 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680dd2c48190a06c5c320a06a71a completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.