Triple

T15078297
Position Surface form Disambiguated ID Type / Status
Subject The Big House E380064 entity
Predicate architect P184 FINISHED
Object Bernard L. Green E380064 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: Bernard L. Green | Statement: [The Big House, architect, Bernard L. Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernard L. Green
Context triple: [The Big House, architect, Bernard L. Green]
  • A. Bernard L. Green chosen
    Bernard L. Green was an architect known for designing the building known as The Big House.
  • B. Howard J. Green
    Howard J. Green was an American screenwriter active during Hollywood’s early sound era, known for his work on several prominent 1930s films.
  • C. George A. Bermann
    George A. Bermann is a prominent American legal scholar and expert in international and comparative law, particularly known for his work in international arbitration.
  • D. Edward B. Green
    Edward B. Green was an American architect known for designing prominent public and institutional buildings in the early 20th century, particularly in Buffalo, New York.
  • E. Lionel M. Bender
    Lionel M. Bender was an American linguist known for his extensive work on African languages, particularly within the Nilo-Saharan and Afroasiatic families.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fe5a208190823900b25e298dab completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff755bbe608190a9a565218eee7005 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 3:03 a.m.