Triple
T3027545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katerina Sakellaropoulou |
E82813
|
entity |
| Predicate | typeOfJudge |
P10518
|
FINISHED |
| Object | administrative law judge |
—
|
LITERAL 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: administrative law judge | Statement: [Katerina Sakellaropoulou, typeOfJudge, administrative law judge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfJudge Context triple: [Katerina Sakellaropoulou, typeOfJudge, administrative law judge]
-
A.
roleInJudges
Indicates that an entity holds or held a specific role, position, or function within a judicial body or among a group of judges.
-
B.
hasJudgeType
chosen
Indicates that an entity is associated with a specific category or type of judge.
-
C.
judicialRole
Indicates that one entity holds or performs a specific official function or position within the judicial system in relation to another entity or legal matter.
-
D.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
E.
judge
Indicates that one entity evaluates, forms an opinion about, or makes a decision regarding another entity or situation.
- F. None of above.
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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abea8f4819090554d7319778170 |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.