Triple
T14513700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Fairley |
E340462
|
entity |
| Predicate | appearedInTVSeries |
P795
|
FINISHED |
| Object | Gangs of London |
E446312
|
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: Gangs of London | Statement: [Michelle Fairley, appearedInTVSeries, Gangs of London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangs of London Context triple: [Michelle Fairley, appearedInTVSeries, Gangs of London]
-
A.
Gangs of London
chosen
Gangs of London is a British crime drama television series that explores the violent power struggles between rival criminal organizations in contemporary London.
-
B.
Ripper Street
Ripper Street is a British period crime drama television series set in Victorian-era London’s Whitechapel district in the aftermath of the Jack the Ripper murders.
-
C.
Disturbing London
Disturbing London is a British entertainment company and record label known for managing and releasing music for prominent UK artists, particularly in the urban and pop genres.
-
D.
London's Burning
"London's Burning" is a British television drama series that follows the professional and personal lives of firefighters in London.
-
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.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6d82988190b6f957012bcc63d4 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a49484081908fd2030d33727a6d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:21 a.m.