Triple
T7986065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google MapReduce |
E185683
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Dryad |
E702187
|
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: Dryad | Statement: [Google MapReduce, influenced, Dryad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dryad Context triple: [Google MapReduce, influenced, Dryad]
-
A.
Dryad
chosen
Dryad is a general-purpose distributed execution engine from Microsoft Research designed to efficiently run data-parallel applications across large clusters of computers.
-
B.
Pando
Pando is a sparsely populated, rainforest-covered department in northern Bolivia known for its Amazonian biodiversity and rubber-extraction history.
-
C.
Drypetis
Drypetis was a Persian princess of the Achaemenid dynasty, daughter of Darius III, who became the wife of Alexander the Great’s close companion Hephaestion.
-
D.
Dryas
Dryas is a figure in Greek mythology known as one of the heroes who joined the legendary Calydonian Boar Hunt.
-
E.
Shimea
Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4b87e48190a797f5363c8f0a04 |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc568393008190b8ff6cc17f9b5c46 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:15 p.m.