Triple
T20566333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zilu |
E504974
|
entity |
| Predicate | courtesyName |
P570
|
FINISHED |
| Object | Zilu |
—
|
NE NERFINISHED |
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: Zilu | Statement: [Zilu, courtesyName, Zilu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zilu Context triple: [Zilu, courtesyName, Zilu]
-
A.
Zilu
chosen
Zilu was one of Confucius’s most prominent disciples, known for his bravery, straightforwardness, and frequent appearance in the Analects as a key interlocutor.
-
B.
Zanaga
Zanaga is a subgroup of the Sanhaja, a historic Berber tribal confederation of North Africa.
-
C.
Hamutal
Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
-
D.
Bembe
The Bembe are a Bantu-speaking ethnic group of the eastern Democratic Republic of the Congo, known for their rich oral traditions, music, and farming and fishing livelihoods around the Lake Tanganyika and Kivu regions.
-
E.
Banzi
Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.