Triple
T6857458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roslin |
E158183
|
entity |
| Predicate | nearbyScientificAchievement |
P74152
|
FINISHED |
| Object | cloning of Dolly the sheep |
—
|
LITERAL 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: cloning of Dolly the sheep | Statement: [Roslin, nearbyScientificAchievement, cloning of Dolly the sheep]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyScientificAchievement Context triple: [Roslin, nearbyScientificAchievement, cloning of Dolly the sheep]
-
A.
notableScientist
Indicates that the subject is a scientist who is widely recognized for significant contributions or impact in their field.
-
B.
eraOfScience
Indicates that one entity is a historical period characterized by particular developments or features in science associated with the other entity.
-
C.
scienceReturn
Indicates that an action or process yields scientific data, findings, or value as its outcome.
-
D.
notableExperiment
Indicates that an entity is recognized for having conducted or been the subject of a particularly important or influential experiment.
-
E.
discoveriesInclude
Indicates that one entity’s set of discoveries contains or encompasses the other entity as a discovered item.
- F. None of above. chosen
Provenance (4 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:21 p.m.