Triple
T36573571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Vaucouleurs system of galaxy classification |
E902178
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
RC3 galaxy catalog classifications
RC3 galaxy catalog classifications are a widely used, detailed morphological scheme for categorizing galaxies, derived from and extending the de Vaucouleurs classification system.
|
E902178
|
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: RC3 galaxy catalog classifications | Statement: [de Vaucouleurs system of galaxy classification, influenced, RC3 galaxy catalog classifications]
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: RC3 galaxy catalog classifications Triple: [de Vaucouleurs system of galaxy classification, influenced, RC3 galaxy catalog classifications]
Generated description
RC3 galaxy catalog classifications are a widely used, detailed morphological scheme for categorizing galaxies, derived from and extending the de Vaucouleurs classification system.
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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c2a296c0819086b0f34fcdcebc74 |
completed | May 3, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39f90fee288190a45ee9eb3e0fc78d |
completed | June 23, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a39f9bd44a88190a65d9c6a28cc9836 |
completed | June 23, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39fcda8cf481908862a0458439039a |
completed | June 23, 2026, 3:26 a.m. |
Created at: May 3, 2026, 4:11 p.m.