Triple
T18207540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High-Rise |
E435944
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Robert Laing |
—
|
NE NERFINISHED |
How this triple was built (3 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: Robert Laing | Statement: [High-Rise, mainCharacter, Robert Laing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Laing Context triple: [High-Rise, mainCharacter, Robert Laing]
-
A.
Hugh Laing
Hugh Laing was a prominent mid-20th-century ballet dancer and actor, best known for his work with choreographer Antony Tudor and performances with major ballet companies.
-
B.
David Laing
David Laing was a 19th-century English clergyman and educational reformer best known for establishing Queen’s College, London, one of the first institutions to offer higher education to women in the UK.
-
C.
Douglas Rae
Douglas Rae is a British film and television producer known for founding Ecosse Films and producing acclaimed dramas and feature films.
-
D.
Edward Glendinning
Edward Glendinning is a central fictional character in Sir Walter Scott’s novel "The Monastery," around whom much of the story’s religious and familial conflict revolves.
-
E.
Kenneth Muir
Kenneth Muir was a prominent British literary scholar and Shakespearean critic known for his influential editions and analyses of Elizabethan and Jacobean drama.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Laing Target entity description: Robert Laing is the introspective physiologist protagonist of J.G. Ballard’s dystopian novel "High-Rise," whose experiences reflect the psychological and social breakdown within a luxury apartment tower.
-
A.
Hugh Laing
Hugh Laing was a prominent mid-20th-century ballet dancer and actor, best known for his work with choreographer Antony Tudor and performances with major ballet companies.
-
B.
David Laing
David Laing was a 19th-century English clergyman and educational reformer best known for establishing Queen’s College, London, one of the first institutions to offer higher education to women in the UK.
-
C.
Douglas Rae
Douglas Rae is a British film and television producer known for founding Ecosse Films and producing acclaimed dramas and feature films.
-
D.
Edward Glendinning
Edward Glendinning is a central fictional character in Sir Walter Scott’s novel "The Monastery," around whom much of the story’s religious and familial conflict revolves.
-
E.
Kenneth Muir
Kenneth Muir was a prominent British literary scholar and Shakespearean critic known for his influential editions and analyses of Elizabethan and Jacobean drama.
- F. None of above. chosen
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2243de081908a5bcc7e2072eae7 |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.