Triple
T15088516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Dillane |
E360348
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Tunnel |
E245035
|
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: [Stephen Dillane, notableWork, The Tunnel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Tunnel Context triple: [Stephen Dillane, 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.
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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00277ea808190be3f002a8316eff1 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.