Triple
T13797047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High-Rise (score) |
E331544
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | High-Rise (2015 film) |
E331544
|
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: High-Rise (2015 film) | Statement: [High-Rise (score), basedOn, High-Rise (2015 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High-Rise (2015 film) Context triple: [High-Rise (score), basedOn, High-Rise (2015 film)]
-
A.
High-Rise (score)
chosen
High-Rise (score) is Clint Mansell’s atmospheric and unsettling musical score for the 2015 dystopian film adaptation of J.G. Ballard’s novel "High-Rise."
-
B.
High-Rise
High-Rise is a dystopian novel by J. G. Ballard that explores the rapid social breakdown and violent class conflict within a luxury residential tower block.
-
C.
High-Rise
High-Rise was a prominent British Thoroughbred racehorse best known for winning the 1998 Epsom Derby.
-
D.
Penthouse
Penthouse is an adult-oriented men’s magazine known for its explicit photography, erotic fiction, and investigative journalism.
-
E.
Gangs of London
Gangs of London is a British crime drama television series that explores the violent power struggles between rival criminal organizations in contemporary London.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.