Triple
T15619713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence Rice |
E375516
|
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: [Florence Rice, familyName, Rice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rice Context triple: [Florence Rice, familyName, Rice]
-
A.
Rice
chosen
Rice is a common English surname borne by various notable individuals across politics, sports, and entertainment.
-
B.
Koshihikari rice
Koshihikari rice is a premium, short-grain Japanese rice variety prized for its sweetness, fragrance, and sticky yet tender texture, widely regarded as one of Japan’s finest table rices.
-
C.
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.
-
D.
Oryza
Oryza is a genus of grasses that includes the cultivated rice species central to human nutrition and agriculture worldwide.
-
E.
Nasi
Nasi is the Hebrew title for a high-ranking leader or prince, historically used for the head of the Jewish community or Sanhedrin.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3b643c819093230df6cfe440b9 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:13 a.m.