Triple

T13483510
Position Surface form Disambiguated ID Type / Status
Subject Ian Baker E318433 entity
Predicate workedOn P3 FINISHED
Object The Crossing 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 Crossing | Statement: [Ian Baker, workedOn, The Crossing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Crossing
Context triple: [Ian Baker, workedOn, The Crossing]
  • A. The Crossing
    The Crossing is a 1994 novel by Cormac McCarthy, the second book in his Border Trilogy, following a young cowboy’s harrowing journeys between the United States and Mexico.
  • B. The Crossing
    The Crossing is a historical novel by Howard Fast that dramatizes George Washington’s daring 1776 crossing of the Delaware River during the American Revolutionary War.
  • C. The Crossing
    The Crossing is a science fiction television series centered on refugees from a war-torn future seeking asylum in a small American town.
  • D. The Crossing
    The Crossing is a renowned video art installation by Bill Viola that explores themes of transformation and spirituality through slow-motion imagery of a figure engulfed alternately by fire and water.
  • E. The Crossing
    The Crossing is a Chinese historical epic film that intertwines the lives of several characters against the backdrop of the 1949 sinking of the Taiping steamer during the Chinese Civil War.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3868ec8190a6a1803018d4f2d8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463715dc8190a70a17b3ea661006 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.