Triple

T8637855
Position Surface form Disambiguated ID Type / Status
Subject John McComb Jr. E204566 entity
Predicate designed P184 FINISHED
Object Castle Clinton E221371 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: Castle Clinton | Statement: [John McComb Jr., designed, Castle Clinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Clinton
Context triple: [John McComb Jr., designed, Castle Clinton]
  • A. Castle Clinton chosen
    Castle Clinton is a historic fort and former immigration station in Lower Manhattan, now serving as a national monument and visitor center.
  • B. Washington Hall
    Washington Hall is a historic campus building at the University of Notre Dame, known for hosting student performances, lectures, and cultural events.
  • C. Washington Hall
    Washington Hall is a prominent historic building at the United States Military Academy at West Point, serving as a central facility for cadet dining and ceremonial functions.
  • D. Fort Point
    Fort Point is a prominent headland in Gloucester, Massachusetts, that helps form the entrance to Gloucester Harbor and has historically hosted defensive and navigational structures.
  • E. Beekman Tower
    Beekman Tower is a striking, undulating residential skyscraper in Lower Manhattan designed by architect Frank Gehry.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4763b6dc81908de979e6d8158bd9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccaa77688190bbcf3fbd6af7c195 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:28 p.m.