Triple
T11935030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mao Zemin |
E284015
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zemin |
E284015
|
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: Zemin | Statement: [Mao Zemin, givenName, Zemin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zemin Context triple: [Mao Zemin, givenName, Zemin]
-
A.
Zemin
chosen
Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
-
B.
Boden
Boden is a northern Swedish town known for its strategic military significance and large army garrison.
-
C.
Erdek
Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
-
D.
Bhumij
Bhumij are an indigenous Adivasi community of eastern India, primarily found in Jharkhand, Odisha, and West Bengal, known for their distinct language, culture, and traditional agrarian lifestyle.
-
E.
Al-Ard
Al-Ard is a landmark 1969 Egyptian film by director Youssef Chahine that powerfully portrays peasant struggles against feudal oppression in rural Egypt.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4408d497c8190b051225140125e1f |
completed | May 1, 2026, 5:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.