Triple
T3810911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Elizabeth Baldwin Rice |
E93130
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rice |
E236015
|
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: Rice | Statement: [Julia Elizabeth Baldwin Rice, familyName, Rice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rice Context triple: [Julia Elizabeth Baldwin Rice, familyName, Rice]
-
A.
Rice
chosen
Rice is a common English surname borne by various notable individuals across politics, sports, and entertainment.
-
B.
Oryza sativa
Oryza sativa is the domesticated Asian rice species that serves as a staple food crop for over half of the world’s population.
-
C.
Oryza
Oryza is a genus of grasses that includes the cultivated rice species central to human nutrition and agriculture worldwide.
-
D.
Yam
Yam is the ancient Canaanite and Phoenician god of the sea, often depicted as a primordial chaos deity and rival of the storm god Baal.
-
E.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80faaa88190b05f8aec8aa5c44d |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb373ce4819082e2d6d6c204c392 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:16 p.m.