Triple

T5713935
Position Surface form Disambiguated ID Type / Status
Subject Heaven Can Wait E125976 entity
Predicate character P662 FINISHED
Object Mr. Jordan E310097 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: Mr. Jordan | Statement: [Heaven Can Wait, character, Mr. Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Jordan
Context triple: [Heaven Can Wait, character, Mr. Jordan]
  • A. Mr. Jordan chosen
    Mr. Jordan is the suave, otherworldly celestial messenger character famously played by Claude Rains in the classic film "Here Comes Mr. Jordan."
  • B. Mr. Jackson
    Mr. Jackson is a messy, intrusive toad character in Beatrix Potter’s children’s story "The Tale of Mrs. Tittlemouse."
  • C. Mr. Porter
    Mr. Porter is an American hip-hop producer and rapper best known as a longtime member of D12 and frequent collaborator of Eminem.
  • D. Bob Jordan
    Bob Jordan is an American business executive best known as the Chief Executive Officer of Southwest Airlines.
  • E. Mr. Sands
    Mr. Sands is a white slaveholder and the complex, often morally ambiguous love interest of the narrator in Harriet Jacobs’s autobiographical slave narrative "Incidents in the Life of a Slave Girl."
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b5205c8190aaab291a6e485ec1 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dedffd481909fafd916190b016f completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:46 p.m.