Triple
T7930871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Ventures |
E184184
|
entity |
| Predicate | portfolioIncludes |
P1393
|
FINISHED |
| Object | Nest |
E184192
|
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: Nest | Statement: [Google Ventures, portfolioIncludes, Nest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nest Context triple: [Google Ventures, portfolioIncludes, Nest]
-
A.
Nest
chosen
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
-
B.
The Nest
The Nest is an indoor sports arena that serves as the home venue for the Hornets basketball team.
-
C.
Nest (limited)
Nest (limited) refers to a restricted version of Google’s Nest smart home ecosystem, offering partial compatibility and functionality when integrated with external platforms like Amazon Alexa.
-
D.
Blacknest
Blacknest is a small rural settlement in East Hampshire, England, known for its countryside setting and proximity to the South Downs.
-
E.
The Old Nest
The Old Nest is a 1921 American silent drama film in which actor Cullen Landis played a prominent role.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3accc388819087065ebe7d5d9591 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c01602081908ea1af24785260ff |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.