Triple
T13145856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōji Yakusho |
E312331
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Eel (1997 film) |
E747485
|
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 Eel (1997 film) | Statement: [Kōji Yakusho, notableWork, The Eel (1997 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Eel (1997 film) Context triple: [Kōji Yakusho, notableWork, The Eel (1997 film)]
-
A.
The Eel
chosen
The Eel is a 1997 Japanese drama film directed by Shōhei Imamura that follows an ex-convict seeking redemption in a small coastal town, and it shared the Palme d'Or at the Cannes Film Festival.
-
B.
Eegah
Eegah is a 1962 low-budget American horror film about a giant caveman terrorizing modern-day teenagers, best known for starring Richard Kiel in the title role and for its later cult status.
-
C.
Piranhas
Piranhas is a historic riverside town in Brazil’s Alagoas state, known for its preserved colonial architecture and scenic location along the São Francisco River.
-
D.
Steel Eel
Steel Eel is a hypercoaster at SeaWorld San Antonio known for its large drops and airtime-focused out-and-back layout.
-
E.
Deep Blue Sea
Deep Blue Sea is a 1999 science fiction horror film about genetically engineered sharks that terrorize researchers in an underwater facility.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bcf6d0c819081d078f33e4bdedc |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae675508190991ce5902768c45a |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:10 p.m.