Triple
T150679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clementine |
E3423
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Clement |
E20592
|
NE 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: Clement | Statement: [Clementine, relatedName, Clement]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clement Context triple: [Clementine, relatedName, Clement]
-
A.
Clement
chosen
Clement is a given name of Latin origin meaning "merciful" or "gentle," historically borne by several popes and saints.
-
B.
Jerome
Jerome was an early Christian scholar and theologian best known for translating the Bible into Latin (the Vulgate) and for his influential biblical commentaries.
-
C.
Fidelis
Fidelis is a Latin word meaning "faithful" or "loyal," commonly used in mottos and phrases to express steadfast allegiance and reliability.
-
D.
Stephanus
Stephanus is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
-
E.
Louis Appia
Louis Appia was a 19th-century Swiss surgeon and humanitarian pioneer who helped establish the principles and institutions that became the modern Red Cross movement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25bab43608190ba5ebfbee6b5b6e4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e3bd8ee88190a708c0aa20b3c7d7 |
completed | Feb. 28, 2026, 12:46 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.