Triple
T8647575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recorder of London |
E205016
|
entity |
| Predicate | hasIncumbent |
P6364
|
FINISHED |
| Object |
Mark Lucraft
Mark Lucraft is a senior British judge who serves in one of the most prominent judicial roles in the City of London.
|
E751959
|
NE FINISHED |
How this triple was built (4 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: Mark Lucraft | Statement: [Recorder of London, hasIncumbent, Mark Lucraft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Lucraft Context triple: [Recorder of London, hasIncumbent, Mark Lucraft]
-
A.
Christopher Benstead
Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
-
B.
Alex Reiger
Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
-
C.
Charlie Lucas
Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
-
D.
Marc Eversley
Marc Eversley is a Canadian basketball executive known for serving as the general manager of the NBA’s Chicago Bulls.
-
E.
Richard Straker
Richard Straker is a sinister antique dealer and human servant to the vampire Kurt Barlow in Stephen King’s horror novel "Salem’s Lot."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mark Lucraft Triple: [Recorder of London, hasIncumbent, Mark Lucraft]
Generated description
Mark Lucraft is a senior British judge who serves in one of the most prominent judicial roles in the City of London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Lucraft Target entity description: Mark Lucraft is a senior British judge who serves in one of the most prominent judicial roles in the City of London.
-
A.
Christopher Benstead
Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
-
B.
Alex Reiger
Alex Reiger is the level-headed, philosophical cab driver who serves as the central character in the classic television sitcom "Taxi."
-
C.
Charlie Lucas
Charlie Lucas is an actor known for his role in the film "Tea with Mussolini."
-
D.
Marc Eversley
Marc Eversley is a Canadian basketball executive known for serving as the general manager of the NBA’s Chicago Bulls.
-
E.
Richard Straker
Richard Straker is a sinister antique dealer and human servant to the vampire Kurt Barlow in Stephen King’s horror novel "Salem’s Lot."
- F. None of above. chosen
Provenance (5 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48112b4881908901214f41b6bf71 |
completed | March 31, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef35ea7108190b164f9c3715be4f5 |
completed | April 2, 2026, 10:53 p.m. |
| NEDg | Description generation | batch_69cef52000048190bc5451cfb6446ced |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef809df548190b4f9ecc709b3b065 |
completed | April 2, 2026, 11:13 p.m. |
Created at: March 30, 2026, 6:29 p.m.