Triple
T34327233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gryf coat of arms (Branicki variation) |
E880900
|
entity |
| Predicate | familyBranch |
P13166
|
FINISHED |
| Object |
Branicki
Branicki is a Polish noble family historically associated with the Gryf coat of arms and influential in the political and social life of the Polish–Lithuanian Commonwealth.
|
E2091778
|
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: Branicki | Statement: [Gryf coat of arms (Branicki variation), familyBranch, Branicki]
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: Branicki Triple: [Gryf coat of arms (Branicki variation), familyBranch, Branicki]
Generated description
Branicki is a Polish noble family historically associated with the Gryf coat of arms and influential in the political and social life of the Polish–Lithuanian Commonwealth.
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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71395a8dc81908697f61e6e55fdbb |
completed | May 3, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36f9d5ae2081908b86e6e435ca46bd |
completed | June 20, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_6a36fb468d248190ada52608298a4ef2 |
completed | June 20, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36fbdbfd7881909e5088bedded00a3 |
completed | June 20, 2026, 8:45 p.m. |
Created at: May 1, 2026, 1:58 a.m.