Triple

T15071617
Position Surface form Disambiguated ID Type / Status
Subject Harry Bosch series E379890 entity
Predicate hasPart P35 FINISHED
Object The Crossing E379905 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: [Harry Bosch series, hasPart, The Crossing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Crossing
Context triple: [Harry Bosch series, hasPart, The Crossing]
  • A. 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.
  • B. The Crossing chosen
    The Crossing is a crime novel by Michael Connelly featuring detective Harry Bosch teaming up with defense attorney Mickey Haller to investigate a complex murder case.
  • C. 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.
  • D. 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.
  • 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.

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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7f86df48190b3a2cf441fefb477 completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cff69c8190b6252509c1aa7ebb completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.