Triple

T22366399
Position Surface form Disambiguated ID Type / Status
Subject Nina Hartley E552914 entity
Predicate spouse P13 FINISHED
Object Ernest Greene NE NERFINISHED

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: Ernest Greene | Statement: [Nina Hartley, spouse, Ernest Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest Greene
Context triple: [Nina Hartley, spouse, Ernest Greene]
  • A. Ernest Greene chosen
    Ernest Greene is an American musician and producer best known as the chillwave artist behind the project Washed Out.
  • B. Albert Leornes Greene
    Albert Leornes Greene, better known as Al Green, is an American soul and R&B singer celebrated for classic hits like "Let's Stay Together" and his influential, gospel-infused vocal style.
  • C. Roy Hines
    Roy Hines is the brother of British actor Frazer Hines, known for his role as Jamie McCrimmon in the classic "Doctor Who" television series.
  • D. Leon Greene
    Leon Greene was a British actor and opera singer known for his imposing presence in film and television, including roles in Hammer horror productions and comedies.
  • E. Fred Gurley
    Fred Gurley is a historic steam locomotive operating on the Disneyland Railroad, known for transporting guests around Disneyland Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580074dc819091305ac7017000d3 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.