Triple
T34856741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | René Antoine Ferchault de Réaumur |
E1004745
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mémoires pour servir à l’histoire des insectes
Mémoires pour servir à l’histoire des insectes is an 18th-century multi-volume work that systematically documents and illustrates the anatomy, behavior, and life cycles of insects, making it a foundational text in entomology.
|
E2114781
|
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: Mémoires pour servir à l’histoire des insectes | Statement: [René Antoine Ferchault de Réaumur, notableWork, Mémoires pour servir à l’histoire des insectes]
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: Mémoires pour servir à l’histoire des insectes Triple: [René Antoine Ferchault de Réaumur, notableWork, Mémoires pour servir à l’histoire des insectes]
Generated description
Mémoires pour servir à l’histoire des insectes is an 18th-century multi-volume work that systematically documents and illustrates the anatomy, behavior, and life cycles of insects, making it a foundational text in entomology.
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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7816265fc8190a8c8b264a69b0b85 |
completed | May 3, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37795ac1b48190954842e8cc50d254 |
completed | June 21, 2026, 5:40 a.m. |
| NEDg | Description generation | batch_6a377a2e811c8190acdf3e170abca595 |
completed | June 21, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a377ac60cd88190b1ea9540346df1c9 |
completed | June 21, 2026, 5:46 a.m. |
Created at: May 3, 2026, 4 p.m.