Triple

T14553493
Position Surface form Disambiguated ID Type / Status
Subject Lowborn E341477 entity
Predicate hasSingle P3282 FINISHED
Object Stranger Ways E1108490 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: Stranger Ways | Statement: [Lowborn, hasSingle, Stranger Ways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stranger Ways
Context triple: [Lowborn, hasSingle, Stranger Ways]
  • A. Stranger Ways chosen
    "Stranger Ways" is a song by the British heavy metal band Lowborn.
  • B. Strangerland
    Strangerland is a 2015 Australian mystery drama film set in a remote desert town, following parents whose children disappear amid a dust storm.
  • C. The Sudden Strangers
    The Sudden Strangers is a novel by American author William Edmund Barrett, best known for its exploration of moral and spiritual themes within an emotionally charged narrative.
  • D. Stranger Songs
    Stranger Songs is a concept album by singer-songwriter Ingrid Michaelson inspired by and thematically tied to the Netflix series "Stranger Things."
  • E. Strangers
    Strangers is a bestselling suspense thriller novel by Dean Koontz that weaves together the mysterious experiences of several strangers drawn to a remote motel to confront a terrifying shared secret.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f00cec8190a7b6482d18b9a216 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9124af481908f43e3b541568e26 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:23 a.m.