Triple

T7701373
Position Surface form Disambiguated ID Type / Status
Subject Herta and Paul Amir Building E174503 entity
Predicate namedAfter P63 FINISHED
Object Paul Amir E174503 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: Paul Amir | Statement: [Herta and Paul Amir Building, namedAfter, Paul Amir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Amir
Context triple: [Herta and Paul Amir Building, namedAfter, Paul Amir]
  • A. Paul Amir chosen
    Paul Amir is a philanthropist and art patron known for his major support of cultural and architectural projects, including the Herta and Paul Amir Building.
  • B. Peter Kamali
    Peter Kamali is an entrepreneur best known for founding the social networking platform Meetup.com, which helps people organize and attend local group events.
  • C. Karim Sanjabi
    Karim Sanjabi was an influential Iranian nationalist politician, lawyer, and academic who became a leading figure of the National Front and a prominent opponent of the Pahlavi monarchy.
  • D. Saeed Sohrab
    Saeed Sohrab is an Iranian academic and mathematician recognized as a distinguished alumnus of Sharif University of Technology.
  • E. Darius Alizadeh
    Darius Alizadeh is a character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70288d02c819093d6f0e47707d0a3 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be2583508190bda9a88e149fe264 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:03 p.m.