Triple

T10322403
Position Surface form Disambiguated ID Type / Status
Subject Paul Schneider E242666 entity
Predicate notableWork P4 FINISHED
Object Elizabethtown E238117 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: Elizabethtown | Statement: [Paul Schneider, notableWork, Elizabethtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabethtown
Context triple: [Paul Schneider, notableWork, Elizabethtown]
  • A. Elizabethtown chosen
    Elizabethtown is a 2005 romantic dramedy film directed by Cameron Crowe, known for starring Orlando Bloom and Kirsten Dunst in a story about failure, family, and self-discovery.
  • B. Elizabethtown
    Elizabethtown is the former name of Elizabeth City, a historic riverfront city in northeastern North Carolina known as a regional hub for the Albemarle area.
  • C. Elizabethtown
    Elizabethtown is a historic colonial-era settlement that served as an early political and economic center in what is now the state of New Jersey.
  • D. Elizabethtown
    Elizabethtown is a small city in central Kentucky known for its Civil War history, regional museums, and role as a commercial hub for the surrounding area.
  • E. Englishtown
    Englishtown is a historic district in Limerick, Ireland, known as one of the city’s oldest settled areas.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d9b2ad881909f3076f8f9d1b1d3 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.