Triple

T20033095
Position Surface form Disambiguated ID Type / Status
Subject Little Creatures E497188 entity
Predicate hasTrack P3284 FINISHED
Object Road to Nowhere NE NERFINISHED

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: Road to Nowhere | Statement: [Little Creatures, hasTrack, Road to Nowhere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Road to Nowhere
Context triple: [Little Creatures, hasTrack, Road to Nowhere]
  • A. Road to Nowhere chosen
    "Road to Nowhere" is a 1985 song by the American new wave band Talking Heads, known for its upbeat sound paired with lyrics about uncertainty and the future.
  • B. Road to Nowhere
    Road to Nowhere is a 2010 neo-noir mystery film directed by Monte Hellman that blurs the line between reality and fiction through a movie-within-a-movie narrative.
  • C. The Road to Nowhere
    The Road to Nowhere is a romantic adventure novel by Russian writer Alexander Grin, known for its dreamlike atmosphere and exploration of idealism and destiny.
  • D. No Highway
    "No Highway" is a 1948 novel by Nevil Shute that centers on an eccentric engineer who predicts catastrophic metal fatigue in a new airliner, blending technical detail with a tense aviation thriller.
  • E. The Big Nowhere
    The Big Nowhere is a dark, complex crime novel by James Ellroy set in 1950s Los Angeles, blending police procedural, political conspiracy, and noir elements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66293e3908190ade07ba9e09da803 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.