Triple
T1728277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolas Hieronimus |
E37548
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nicolas Hieronimus |
E37548
|
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: Nicolas Hieronimus | Statement: [Nicolas Hieronimus, name, Nicolas Hieronimus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolas Hieronimus Context triple: [Nicolas Hieronimus, name, Nicolas Hieronimus]
-
A.
Nicolas Hieronimus
chosen
Nicolas Hieronimus is a French business executive who serves as the chief executive officer of global cosmetics giant L'Oréal.
-
B.
Balthasar Gérard
Balthasar Gérard was a French Catholic zealot best known for assassinating William the Silent, leader of the Dutch Revolt, in 1584.
-
C.
Johannes
Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
-
D.
Hieronymus
Hieronymus is the Latinized name of Saint Jerome, a prominent early Christian scholar best known for translating the Bible into Latin (the Vulgate).
-
E.
Gotthard Heinrici
Gotthard Heinrici was a German Wehrmacht field marshal renowned as one of Nazi Germany’s most skilled defensive commanders during World War II, particularly in the war’s final stages.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa637c26988190ad5c400856684825 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8af6b034819087f6d168b9f5249a |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.