Triple

T15959000
Position Surface form Disambiguated ID Type / Status
Subject Zak Penn E387008 entity
Predicate wrote P2831 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: [Zak Penn, wrote, PCU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PCU
Context triple: [Zak Penn, wrote, 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
    The PCC is a major right-leaning political party in Colombia that traditionally advocates conservative social values and economic liberalism.
  • D. 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.
  • E. PCC
    PCC is a Philippine government research and development institution dedicated to the conservation, breeding, and utilization of carabaos (water buffaloes) to improve rural livelihoods and agricultural productivity.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fd7ce08190b5db4b486ccb6e40 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c3aae081909366c01b3fec4d47 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:53 a.m.