Triple
T20468026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin Moore |
E502106
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The London Connection |
—
|
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: The London Connection | Statement: [Robin Moore, notableWork, The London Connection]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The London Connection Context triple: [Robin Moore, notableWork, The London Connection]
-
A.
London Spy
London Spy is a British television drama-thriller miniseries that follows a young man drawn into a web of espionage and conspiracy after the mysterious death of his secretive lover.
-
B.
Cuckoo Wharf
Cuckoo Wharf is a historic canal wharf in Birmingham, England, associated with the Birmingham and Fazeley Canal and formerly used for industrial and commercial cargo handling.
-
C.
Londres 38
Londres 38 is a former clandestine detention and torture center in Santiago that now serves as a memorial and site of memory for victims of Chile’s military dictatorship.
-
D.
The Dark Eyes of London
The Dark Eyes of London is a 1924 crime novel by British writer Edgar Wallace, centered on a sinister insurance fraud scheme and notorious for its blend of mystery and horror.
-
E.
Brixton Lore
Brixton Lore is a cybernetically enhanced supervillain and former MI6 agent who serves as the primary antagonist in the action film "Fast & Furious Presents: Hobbs & Shaw."
- 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: The London Connection Target entity description: The London Connection is a lesser-known work by American writer Robin Moore, who is best known for his gritty, fact-based crime and military novels.
-
A.
London Spy
London Spy is a British television drama-thriller miniseries that follows a young man drawn into a web of espionage and conspiracy after the mysterious death of his secretive lover.
-
B.
Cuckoo Wharf
Cuckoo Wharf is a historic canal wharf in Birmingham, England, associated with the Birmingham and Fazeley Canal and formerly used for industrial and commercial cargo handling.
-
C.
Londres 38
Londres 38 is a former clandestine detention and torture center in Santiago that now serves as a memorial and site of memory for victims of Chile’s military dictatorship.
-
D.
The Dark Eyes of London
The Dark Eyes of London is a 1924 crime novel by British writer Edgar Wallace, centered on a sinister insurance fraud scheme and notorious for its blend of mystery and horror.
-
E.
Brixton Lore
Brixton Lore is a cybernetically enhanced supervillain and former MI6 agent who serves as the primary antagonist in the action film "Fast & Furious Presents: Hobbs & Shaw."
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995e71c08190911fadbc433f0f4d |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.