Triple

T17352563
Position Surface form Disambiguated ID Type / Status
Subject Paul Ready E421851 entity
Predicate notableWork P4 FINISHED
Object The Tunnel NE ONNED1

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: [Paul Ready, notableWork, The Tunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tunnel
Context triple: [Paul Ready, notableWork, The Tunnel]
  • A. 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.
  • B. The Tunnel
    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. Tunnel 88
    Tunnel 88 is a former military tunnel on Nangan Island in Taiwan’s Matsu archipelago, now a popular tourist site known for its historical significance and underground liquor storage.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2dae648190b7f3487919a446af completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955a50dc819090c1a0ec111d9fc0 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.