Triple

T21446046
Position Surface form Disambiguated ID Type / Status
Subject Abi Bach E529077 entity
Predicate notableWork P4 FINISHED
Object The Tunnel 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: The Tunnel | Statement: [Abi Bach, notableWork, The Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tunnel
Context triple: [Abi Bach, notableWork, The Tunnel]
  • A. The Tunnel
    "The Tunnel" is a poem featured in the collection *White Buildings* by American modernist poet Hart Crane.
  • B. The Tunnel chosen
    The Tunnel is a British-French crime drama television series that adapts the Scandinavian show The Bridge, centering on a joint investigation into murders discovered in the Channel Tunnel.
  • C. The Tunnel
    The Tunnel is a 1935 British science fiction film envisioning the construction of a transatlantic tunnel linking Europe and America.
  • D. the Tunnels
    The Tunnels are an underground, hidden community beneath New York City where outcasts live in secrecy and form a close-knit, almost mythic society in the TV series "Beauty and the Beast."
  • E. Túnel de Mármol
    Túnel de Mármol is a striking natural marble formation on the shores of Chile’s General Carrera Lake, known for its tunnel-like caverns carved by water erosion and their vivid blue reflections.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9cea7bc81909ee3e1cdeda1fe7e completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:05 p.m.