Triple
T29077536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Lydekker |
E735981
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
A Geographical History of Mammals
A Geographical History of Mammals is a late 19th-century zoological work by Richard Lydekker that surveys the distribution and evolution of mammal species across the world’s regions.
|
E1848080
|
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: A Geographical History of Mammals | Statement: [Richard Lydekker, notableWork, A Geographical History of Mammals]
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: A Geographical History of Mammals Triple: [Richard Lydekker, notableWork, A Geographical History of Mammals]
Generated description
A Geographical History of Mammals is a late 19th-century zoological work by Richard Lydekker that surveys the distribution and evolution of mammal species across the world’s regions.
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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661407e5481908d8f224787f5f6be |
completed | May 2, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a251f8bfc248190a13a50c2beca30fd |
completed | June 7, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a2523ec5098819093f3576fd35f335d |
completed | June 7, 2026, 7:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2527e117c88190989c7965f5d99f87 |
completed | June 7, 2026, 8:12 a.m. |
Created at: April 28, 2026, 10:23 a.m.