Triple

T5136402
Position Surface form Disambiguated ID Type / Status
Subject Carry the Banner E115832 entity
Predicate hasTrack P3284 FINISHED
Object Before the Accident E490695 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: Before the Accident | Statement: [Carry the Banner, hasTrack, Before the Accident]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Before the Accident
Context triple: [Carry the Banner, hasTrack, Before the Accident]
  • A. The Accident
    The Accident is a semi-autobiographical novel by Elie Wiesel that explores trauma, survival, and identity in the aftermath of the Holocaust.
  • B. “Before The Accident” chosen
    “Before The Accident” is a song featured on the album *Goodbye Ellston Avenue* by the punk rock band Bigwig.
  • C. His Accidency
    "His Accidency" is a derisive nickname given to John Tyler, the 10th U.S. president, highlighting the controversy over his succession to the presidency after William Henry Harrison's death.
  • D. Beyond the Crash
    Beyond the Crash is a book by former UK Prime Minister Gordon Brown analyzing the causes of the 2008 global financial crisis and proposing reforms for the world economy.
  • E. The Accidental
    The Accidental is a novel by Ali Smith that blends experimental narrative techniques with themes of family, identity, and the disruptive arrival of a mysterious stranger.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd785069108190bf9cfdc7d962d43f completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d04b3c8190bfac5986e1bb89a5 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.