Triple

T14582399
Position Surface form Disambiguated ID Type / Status
Subject Roxanne Lee E342224 entity
Predicate notableWork P4 FINISHED
Object The Border unclear NED1 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: The Border | Statement: [Roxanne Lee, notableWork, The Border]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Border
Context triple: [Roxanne Lee, notableWork, The Border]
  • A. The Border
    The Border is a 1982 crime drama film starring Jack Nicholson as a corrupt U.S. Border Patrol agent confronting moral dilemmas along the U.S.–Mexico border.
  • B. The Border
    The Border is a Finnish historical drama film scored by composer Tuomas Kantelinen, set in the turbulent aftermath of the Finnish Civil War.
  • C. La Frontera
    La Frontera is the historical frontier region in southern Chile that was the site of prolonged conflict and cultural interaction between Spanish colonizers and the indigenous Mapuche people.
  • D. كتاب الحدود
    كتاب الحدود هو مؤلَّف إسلامي كلاسيكي يتناول أحكام الحدود والعقوبات الشرعية في الفقه الإسلامي.
  • E. Fronteira
    Fronteira is a small Portuguese municipality in the Alentejo region, known for its rural landscape and historical heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ba235c81909e0408ccf2be9628 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.