Triple
T2265113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodney Brooks |
E50125
|
entity |
| Predicate | boardMemberOf |
P10
|
FINISHED |
| Object | iRobot |
E251534
|
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: iRobot | Statement: [Rodney Brooks, boardMemberOf, iRobot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iRobot Context triple: [Rodney Brooks, boardMemberOf, iRobot]
-
A.
iRobot
chosen
iRobot is an American technology company best known for creating the Roomba line of autonomous robotic vacuum cleaners and other consumer robots.
-
B.
Rethink Robotics
Rethink Robotics was a robotics company known for developing collaborative industrial robots like Baxter and Sawyer designed to work safely alongside humans in manufacturing environments.
-
C.
Boston Dynamics
Boston Dynamics is an American engineering and robotics company renowned for creating advanced, highly mobile robots such as Atlas, Spot, and Handle.
-
D.
Dyson
Dyson is a surname most famously associated with theoretical physicist and mathematician Freeman Dyson, known for his influential work in quantum electrodynamics and futurism.
-
E.
Nest Labs
Nest Labs is a home automation company best known for its smart thermostats, smoke detectors, and security cameras that helped popularize the modern smart home market.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18ed0708190aa3156e9d35120c3 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f0bb4d08190b7fa8815d691bdbb |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.