Triple
T15033891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Cooper |
E378429
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Frisk
Frisk is a transgressive novel by Dennis Cooper, known for its disturbing exploration of violence, desire, and identity.
|
E1133464
|
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: Frisk | Statement: [Dennis Cooper, notableWork, Frisk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frisk Context triple: [Dennis Cooper, notableWork, Frisk]
-
A.
Friz
Friz was the nickname of Friz Freleng, the influential American animator, cartoon director, and producer best known for his work on Looney Tunes and Merrie Melodies.
-
B.
Frey
Frey is the central protagonist of the game Elysium, around whom the story’s main events and character development revolve.
-
C.
Frey
Frey is a Norse god associated with fertility, prosperity, and fair weather, often linked to kingship and peace in Norse mythology.
-
D.
Frisch
Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
-
E.
Fager
Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
- 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: Frisk Triple: [Dennis Cooper, notableWork, Frisk]
Generated description
Frisk is a transgressive novel by Dennis Cooper, known for its disturbing exploration of violence, desire, and identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frisk Target entity description: Frisk is a transgressive novel by Dennis Cooper, known for its disturbing exploration of violence, desire, and identity.
-
A.
Friz
Friz was the nickname of Friz Freleng, the influential American animator, cartoon director, and producer best known for his work on Looney Tunes and Merrie Melodies.
-
B.
Frey
Frey is the central protagonist of the game Elysium, around whom the story’s main events and character development revolve.
-
C.
Frey
Frey is a Norse god associated with fertility, prosperity, and fair weather, often linked to kingship and peace in Norse mythology.
-
D.
Frisch
Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
-
E.
Fager
Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dddd0208190b2dac7a078de2931 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f58e39081909be07cda05484fb3 |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9ff62eb081908e170e099c99283b |
completed | May 9, 2026, 2:46 a.m. |
Created at: April 10, 2026, 2:59 a.m.