Triple
T29125032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquis Yi of Zeng |
E738199
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
bianzhong of Marquis Yi of Zeng
The bianzhong of Marquis Yi of Zeng is an elaborate set of ancient Chinese bronze bells from the Warring States period, renowned for its sophisticated musical tuning and as a masterpiece of early Chinese metallurgy and ritual art.
|
E190261
|
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: bianzhong of Marquis Yi of Zeng | Statement: [Marquis Yi of Zeng, associatedWith, bianzhong of Marquis Yi of Zeng]
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: bianzhong of Marquis Yi of Zeng Triple: [Marquis Yi of Zeng, associatedWith, bianzhong of Marquis Yi of Zeng]
Generated description
The bianzhong of Marquis Yi of Zeng is an elaborate set of ancient Chinese bronze bells from the Warring States period, renowned for its sophisticated musical tuning and as a masterpiece of early Chinese metallurgy and ritual art.
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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6622916088190a3cd63ade671d3ad |
completed | May 2, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2537cf21448190a1614dee642a9e10 |
completed | June 7, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_6a253c1c5b608190820e8b032fb74e40 |
completed | June 7, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a253fe575c48190834250931b48111c |
completed | June 7, 2026, 9:54 a.m. |
Created at: April 28, 2026, 11:27 a.m.