Triple

T23128184
Position Surface form Disambiguated ID Type / Status
Subject Heino Ferch E577093 entity
Predicate notableWork P4 FINISHED
Object The Tunnel E600744 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 Tunnel | Statement: [Heino Ferch, notableWork, The Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tunnel
Context triple: [Heino Ferch, notableWork, The Tunnel]
  • A. The Tunnel
    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.
  • B. The Tunnel chosen
    The Tunnel is a 1935 British science fiction film envisioning the construction of a transatlantic tunnel linking Europe and America.
  • C. The Tunnel
    "The Tunnel" is a poem featured in the collection *White Buildings* by American modernist poet Hart Crane.
  • 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. Al final del túnel
    Al final del túnel is an Argentine thriller film centered on a paraplegic computer engineer who uncovers a criminal plot while spying on his new tenants.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e857b40819081f9df03fff64d48 completed April 29, 2026, 4:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23f606048190943cc7d879ffcfa2 completed May 19, 2026, 8:48 a.m.
Created at: April 17, 2026, 3:59 p.m.