Triple
T16060991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noble Consort Yi |
E389610
|
entity |
| Predicate | courtesyName |
P570
|
FINISHED |
| Object |
Lan
Lan is the courtesy name of Noble Consort Yi, a high-ranking imperial consort in the Qing dynasty court of China.
|
E1191125
|
NE FINISHED |
How this triple was built (4 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: Lan | Statement: [Noble Consort Yi, courtesyName, Lan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lan Context triple: [Noble Consort Yi, courtesyName, Lan]
-
A.
Lan
Lan is the given name of Lan Samantha Chang, an American writer and director of the Iowa Writers’ Workshop known for her fiction exploring Chinese American experiences.
-
B.
Lou-lan
Lou-lan is an ancient Silk Road kingdom and archaeological site located near the former shoreline of Lop Nur in what is now Xinjiang, China.
-
C.
Lanaye
Lanaye is a village in the municipality of Visé in the province of Liège, Belgium, situated along the Meuse River near the Dutch border.
-
D.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
E.
Lai
The Lai are an indigenous ethnic group of the broader Mizo community, primarily inhabiting parts of northeast India and neighboring Myanmar, with their own distinct language and cultural traditions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lan Triple: [Noble Consort Yi, courtesyName, Lan]
Generated description
Lan is the courtesy name of Noble Consort Yi, a high-ranking imperial consort in the Qing dynasty court of China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lan Target entity description: Lan is the courtesy name of Noble Consort Yi, a high-ranking imperial consort in the Qing dynasty court of China.
-
A.
Lan
Lan is the given name of Lan Samantha Chang, an American writer and director of the Iowa Writers’ Workshop known for her fiction exploring Chinese American experiences.
-
B.
Lou-lan
Lou-lan is an ancient Silk Road kingdom and archaeological site located near the former shoreline of Lop Nur in what is now Xinjiang, China.
-
C.
Lanaye
Lanaye is a village in the municipality of Visé in the province of Liège, Belgium, situated along the Meuse River near the Dutch border.
-
D.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
E.
Lai
The Lai are an indigenous ethnic group of the broader Mizo community, primarily inhabiting parts of northeast India and neighboring Myanmar, with their own distinct language and cultural traditions.
- F. None of above. chosen
Provenance (5 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837850288190910ef37d6484c600 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe88a608190bc0a0cbfdb71e81d |
completed | May 10, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69ffdce9591c81909e6bb5c13ddf84cd |
completed | May 10, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffddb0ff848190ace70b55d9861040 |
completed | May 10, 2026, 1:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.