Triple

T22942773
Position Surface form Disambiguated ID Type / Status
Subject Surface/Subsurface: New York’s Water E569778 entity
Predicate author P4 FINISHED
Object Weiss/Manfredi 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: Weiss/Manfredi | Statement: [Surface/Subsurface: New York’s Water, author, Weiss/Manfredi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weiss/Manfredi
Context triple: [Surface/Subsurface: New York’s Water, author, Weiss/Manfredi]
  • A. Weiss/Manfredi chosen
    Weiss/Manfredi is a New York–based architecture and design firm known for its innovative, landscape-integrated cultural and institutional projects.
  • B. Weiss
    Weiss is a common German-language surname borne by numerous notable individuals across fields such as entertainment, science, and politics.
  • C. Weissman
    Weissman is a surname most prominently associated with Drew Weissman, the Nobel Prize–winning physician-scientist whose work on mRNA technology enabled the development of COVID-19 vaccines.
  • D. Sol Weiss
    Sol Weiss was a music industry figure best known as the founder of the jazz and blues label Fantasy Records.
  • E. Weis
    Weis is a surname most prominently associated with Charlie Weis, an American football coach known for his tenure with the Notre Dame Fighting Irish and in the NFL.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819a509481908a3662ef80f757c7 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:45 p.m.