Triple
T11764231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleasure |
E279737
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Pleasure |
E279737
|
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: Pleasure | Statement: [Pleasure, title, Pleasure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pleasure Context triple: [Pleasure, title, Pleasure]
-
A.
Pleasure
chosen
Pleasure is a 1985 Italian erotic drama film directed by Joe D'Amato that explores themes of desire, fantasy, and sexual liberation.
-
B.
Pleasured
Pleasured is a novel by British writer Philip Hensher, known for its darkly comic and satirical exploration of contemporary life and relationships.
-
C.
Pleasure & Pain
Pleasure & Pain is a studio album, most notably the 2005 release by R&B group 112 that blends smooth ballads with contemporary hip-hop-influenced tracks.
-
D.
Happiness
Happiness is a 2013 American documentary film directed by Thomas Balmès that follows a young Bhutanese monk experiencing modern technology and urban life for the first time.
-
E.
Happiness
"Happiness" is a 1995 self-help and inspirational book by Marla Maples reflecting on personal growth, spirituality, and finding joy in life.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5248e0881909ed1b4df7be422f7 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a570ca88190ba2f3791c0e0ba60 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:41 p.m.