Triple

T10194327
Position Surface form Disambiguated ID Type / Status
Subject Drew Baylor E238119 entity
Predicate appearsIn P795 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: [Drew Baylor, appearsIn, Elizabethtown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabethtown
Context triple: [Drew Baylor, appearsIn, 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32aef701c8190a01e632eb4fda1b9 completed April 6, 2026, 3:39 a.m.
Created at: March 30, 2026, 9:13 p.m.