Triple
T3505580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dame Justice |
E74066
|
entity |
| Predicate | correspondsToMaleTitle |
P15994
|
FINISHED |
| Object |
Mr Justice
Mr Justice is the traditional formal title used for male judges in certain higher courts, particularly in common law jurisdictions such as England and Wales.
|
E364028
|
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: Mr Justice | Statement: [Dame Justice, correspondsToMaleTitle, Mr Justice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr Justice Context triple: [Dame Justice, correspondsToMaleTitle, Mr Justice]
-
A.
Lord Justice
Lord Justice is a senior judicial title used for appellate judges in certain UK jurisdictions, including Northern Ireland.
-
B.
Lord Judge
Lord Judge is a prominent British jurist who served as Lord Chief Justice of England and Wales.
-
C.
Lord Reed
Lord Reed is a senior British judge who serves as President of the Supreme Court of the United Kingdom.
-
D.
Judge Staveley
Judge Staveley is a central fictional judge in Anthony Trollope’s novel "Orley Farm," known for his integrity and involvement in the novel’s legal and moral conflicts.
-
E.
Judge Brack
Judge Brack is a calculating, socially influential judge who serves as a manipulative antagonist in Henrik Ibsen’s play "Hedda Gabler."
- 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: Mr Justice Triple: [Dame Justice, correspondsToMaleTitle, Mr Justice]
Generated description
Mr Justice is the traditional formal title used for male judges in certain higher courts, particularly in common law jurisdictions such as England and Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr Justice Target entity description: Mr Justice is the traditional formal title used for male judges in certain higher courts, particularly in common law jurisdictions such as England and Wales.
-
A.
Lord Justice
Lord Justice is a senior judicial title used for appellate judges in certain UK jurisdictions, including Northern Ireland.
-
B.
Lord Judge
Lord Judge is a prominent British jurist who served as Lord Chief Justice of England and Wales.
-
C.
Lord Reed
Lord Reed is a senior British judge who serves as President of the Supreme Court of the United Kingdom.
-
D.
Judge Staveley
Judge Staveley is a central fictional judge in Anthony Trollope’s novel "Orley Farm," known for his integrity and involvement in the novel’s legal and moral conflicts.
-
E.
Judge Brack
Judge Brack is a calculating, socially influential judge who serves as a manipulative antagonist in Henrik Ibsen’s play "Hedda Gabler."
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf38e988190998d722b95830411 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373de0a34819096701e24409a08bb |
completed | March 13, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69b377dfd2308190b2762715fa098260 |
completed | March 13, 2026, 2:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37850f18081908ee893dd4cedc183 |
completed | March 13, 2026, 2:37 a.m. |
Created at: March 8, 2026, 3:18 p.m.