Triple
T10089332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Endore |
E215301
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Guy Endore |
E215301
|
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: Guy Endore | Statement: [Guy Endore, name, Guy Endore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Endore Context triple: [Guy Endore, name, Guy Endore]
-
A.
Guy Endore
chosen
Guy Endore was an American novelist and screenwriter best known for his horror and historical fiction, including the cult novel "The Werewolf of Paris" and screenplays for several classic genre films.
-
B.
Kent Seki
Kent Seki is a cinematographer and visual artist known for his work on animated feature films, including the 2019 adaptation of The Addams Family.
-
C.
Toru Watanabe
Toru Watanabe is the introspective university student protagonist of Haruki Murakami’s novel "Norwegian Wood," whose coming-of-age story explores love, loss, and emotional turmoil in 1960s Tokyo.
-
D.
Leo Shuken
Leo Shuken was an American film composer and orchestrator known for his work on numerous Hollywood scores during the mid-20th century.
-
E.
Ryo Nagamatsu
Ryo Nagamatsu is a Japanese video game composer best known for his work on major Nintendo titles, particularly in the Super Mario and The Legend of Zelda series.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd057e32881908bf630559af94906 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b69cd26c8190bf4b488377dc0ce1 |
completed | April 5, 2026, 7:23 p.m. |
Created at: March 30, 2026, 9:01 p.m.