Triple

T144602
Position Surface form Disambiguated ID Type / Status
Subject Willis Tower E2926 entity
Predicate engineer P184 FINISHED
Object Fazlur Rahman Khan E24542 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: Fazlur Rahman Khan | Statement: [Willis Tower, engineer, Fazlur Rahman Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fazlur Rahman Khan
Context triple: [Willis Tower, engineer, Fazlur Rahman Khan]
  • A. Fazlur Rahman Khan chosen
    Fazlur Rahman Khan was a pioneering structural engineer and architect renowned for revolutionizing skyscraper design through innovative tubular structural systems.
  • B. Louis Kahn
    Louis Kahn was a 20th-century American architect renowned for his monumental, geometric buildings and masterful use of light and materials, which profoundly shaped modern architecture.
  • C. I. M. Pei
    I. M. Pei was a renowned Chinese-American architect celebrated for his modernist designs, including iconic museums and cultural landmarks around the world.
  • D. John William Wallace Otto
    John William Wallace Otto was a compiler and editor known for assembling the legal and governmental documents published as the Otto Reports.
  • E. Fumihiko Maki
    Fumihiko Maki is a renowned Japanese architect known for his modernist designs and thoughtful integration of technology, urban context, and public space.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257e935bc8190a03e54a10e9ba6f7 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a311574d248190b4769473012a3106 completed Feb. 28, 2026, 4:01 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.