Triple
T16721644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Grudge |
E406361
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Kayako Saeki
Kayako Saeki is the vengeful ghost central to the Japanese horror franchise "Ju-On" and its American remake series "The Grudge."
|
E1450744
|
NE FINISHED |
How this triple was built (4 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: Kayako Saeki | Statement: [The Grudge, mainCharacter, Kayako Saeki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kayako Saeki Context triple: [The Grudge, mainCharacter, Kayako Saeki]
-
A.
Masami Nakagawa
Masami Nakagawa is a Japanese physicist known as a prominent student and collaborator of theoretical physicist Shoichi Sakata.
-
B.
Jinichi Kusaka
Jinichi Kusaka was a senior Imperial Japanese Navy admiral and air commander in the Pacific Theater during World War II.
-
C.
Akinobu Mayumi
Akinobu Mayumi is a Japanese former professional baseball player and manager known for his career in Nippon Professional Baseball.
-
D.
Makoto Kishi
Makoto Kishi is a person notable enough to be specifically cited as a bearer of the surname Kishi.
-
E.
Yuitsu Tsuchihashi
Yuitsu Tsuchihashi was a Japanese general who played a key leadership role in Japan’s military operations in French Indochina during World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kayako Saeki Triple: [The Grudge, mainCharacter, Kayako Saeki]
Generated description
Kayako Saeki is the vengeful ghost central to the Japanese horror franchise "Ju-On" and its American remake series "The Grudge."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kayako Saeki Target entity description: Kayako Saeki is the vengeful ghost central to the Japanese horror franchise "Ju-On" and its American remake series "The Grudge."
-
A.
Masami Nakagawa
Masami Nakagawa is a Japanese physicist known as a prominent student and collaborator of theoretical physicist Shoichi Sakata.
-
B.
Jinichi Kusaka
Jinichi Kusaka was a senior Imperial Japanese Navy admiral and air commander in the Pacific Theater during World War II.
-
C.
Akinobu Mayumi
Akinobu Mayumi is a Japanese former professional baseball player and manager known for his career in Nippon Professional Baseball.
-
D.
Makoto Kishi
Makoto Kishi is a person notable enough to be specifically cited as a bearer of the surname Kishi.
-
E.
Yuitsu Tsuchihashi
Yuitsu Tsuchihashi was a Japanese general who played a key leadership role in Japan’s military operations in French Indochina during World War II.
- F. None of above. chosen
Provenance (5 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38743750c81908a980372ad8f1a6a |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f89f26f0819083c367fd8c24428c |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f9683d6881909ce4e3e7e93b6e94 |
completed | May 16, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f9cd9ce0819085c29707c274547c |
completed | May 16, 2026, 11:12 p.m. |
Created at: April 10, 2026, 5:20 a.m.