Triple
T34702858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Vice-President of the Court |
E1000421
|
entity |
| Predicate | mayActAs |
P161
|
FINISHED |
| Object | acting President of the Court in the absence of the President and First Vice-President |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: acting President of the Court in the absence of the President and First Vice-President | Statement: [Second Vice-President of the Court, mayActAs, acting President of the Court in the absence of the President and First Vice-President]
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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77971dd6c8190900c58e6d95b3dbd |
completed | May 3, 2026, 4:36 p.m. |
Created at: May 3, 2026, 3:59 p.m.