Triple

T7680520
Position Surface form Disambiguated ID Type / Status
Subject Max Perlich E173979 entity
Predicate notableWork P4 FINISHED
Object PCU E343473 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: PCU | Statement: [Max Perlich, notableWork, PCU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PCU
Context triple: [Max Perlich, notableWork, PCU]
  • A. PCU chosen
    PCU is a 1994 college comedy film satirizing campus political correctness and fraternity culture.
  • B. PCS
    PCS is a New York City-based independent school that provides flexible, college-preparatory education tailored to the schedules of professional children in fields like acting, music, and sports.
  • C. PCC
    PCC is a standardized, streamlined electric streetcar design widely used in North American and European cities during the mid-20th century for urban public transit.
  • D. PCC
    PCC is an international cooperative cataloging program that develops and promotes shared standards to improve the quality and efficiency of library cataloging worldwide.
  • E. PCC
    The Press Complaints Commission (PCC) was the former self-regulatory body for the British press, responsible for enforcing a code of practice on newspaper and magazine journalism in the UK.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701ffc1fc8190bc9c2b1f3bb37f0d completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a24de3a48190a92009b6092b09d0 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.