Triple
T16972391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Han Meilin |
E411718
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Meilin |
E892932
|
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: Meilin | Statement: [Han Meilin, givenName, Meilin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meilin Context triple: [Han Meilin, givenName, Meilin]
-
A.
Meilin
chosen
Meilin is the 13-year-old Chinese-Canadian protagonist of Pixar's animated film "Turning Red," who transforms into a giant red panda whenever her emotions run high.
-
B.
Mingze
Mingze is the given name of Xi Jinping’s daughter, Xi Mingze, who is known for maintaining a very private life despite her father’s prominent political role in China.
-
C.
Jinyu
Jinyu is a major variety of the Jin group of Chinese dialects spoken primarily in northern China, especially in Shanxi and surrounding regions.
-
D.
Weida
Weida is a river in eastern Germany that serves as a significant tributary of the Weiße Elster.
-
E.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ae47f08190a13e98d20aba7f16 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d471d4248190acf40b6c11926a65 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.