Triple

T12563656
Position Surface form Disambiguated ID Type / Status
Subject Allied Works Architecture E295411 entity
Predicate foundedBy P104 FINISHED
Object Brad Cloepfil E295412 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: Brad Cloepfil | Statement: [Allied Works Architecture, foundedBy, Brad Cloepfil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brad Cloepfil
Context triple: [Allied Works Architecture, foundedBy, Brad Cloepfil]
  • A. Brad Cloepfil chosen
    Brad Cloepfil is an American architect and founder of the firm Allied Works Architecture, known for his innovative museum and cultural institution designs.
  • B. Matt Hendrickson
    Matt Hendrickson is a musician best known as a member of the indie rock band Low.
  • C. Steven Fulop
    Steven Fulop is an American politician who has served as the mayor of Jersey City, New Jersey, and is known for his focus on urban development and progressive local policies.
  • D. Buzz Feitshans
    Buzz Feitshans is an American film producer best known for his work on action films of the 1970s and 1980s, including collaborations with Sylvester Stallone.
  • E. Joe Bomowski
    Joe Bomowski is a fictional tough-but-comedic police sergeant portrayed by Sylvester Stallone in the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95494ae1c81908b9ee14b8ef92a65 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558da7e0819086860bfaf394e2d8 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:49 p.m.