Triple
T9736152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint James |
E236066
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Jacques (French) |
E19086
|
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: Jacques (French) | Statement: [Saint James, hasNameInLanguage, Jacques (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacques (French) Context triple: [Saint James, hasNameInLanguage, Jacques (French)]
-
A.
Jean (French)
Jean is the standard French given name equivalent to the English name John, widely used for men in French-speaking countries.
-
B.
Alain (French)
Alain is the French given name equivalent to the English name Alan, commonly used for males in French-speaking countries.
-
C.
David (French)
David (French) is the French form of the given name "David," commonly used in French-speaking countries and derived from the Hebrew name meaning "beloved."
-
D.
Alexandre (French)
Alexandre (French) is the French form of the given name Alexander, commonly used for males in French-speaking countries.
-
E.
Jacques
chosen
Jacques is the French form of the given name James, commonly used in French-speaking countries.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afce9834819090949690b4ca8622 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:22 p.m.