Triple
T6804290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savannah James |
E156262
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | James |
E577893
|
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: James | Statement: [Savannah James, familyName, James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Context triple: [Savannah James, familyName, James]
-
A.
James
James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
-
B.
James
James is a prominent early Christian figure, traditionally identified as James the brother of Jesus and a leader in the Jerusalem church.
-
C.
James
James is a New Testament epistle traditionally attributed to James the brother of Jesus, emphasizing practical Christian ethics and the relationship between faith and works.
-
D.
James
chosen
James is a common English surname of Hebrew origin, widely borne by notable figures in sports, politics, and the arts.
-
E.
John
John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ea459c819095388218d53c250a |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f9926ec8190bff8d01e3ab0d0da |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:16 p.m.