Triple
T33459841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieter Pourbus |
E856880
|
entity |
| Predicate | positionHeld |
P8
|
FINISHED |
| Object | dean of the Guild of Saint Luke (Bruges) |
—
|
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: dean of the Guild of Saint Luke (Bruges) | Statement: [Pieter Pourbus, positionHeld, dean of the Guild of Saint Luke (Bruges)]
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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e4d1da788190a2bac16ea7ddad54 |
completed | May 3, 2026, 6:01 a.m. |
Created at: May 1, 2026, 1:37 a.m.