Triple
T747462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perseverance rover |
E15374
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object |
WATSON
WATSON is a close-up imaging camera on NASA’s Perseverance rover used to examine the fine details of Martian rocks and surface materials.
|
E88914
|
NE FINISHED |
How this triple was built (4 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: WATSON | Statement: [Perseverance rover, hasInstrument, WATSON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WATSON Context triple: [Perseverance rover, hasInstrument, WATSON]
-
A.
Bixby
Bixby is Samsung's proprietary virtual assistant designed to enable voice control, smart device integration, and contextual assistance across the company's ecosystem of products.
-
B.
Wolfram
Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
-
C.
Dextre
Dextre is a two-armed robotic handyman on the International Space Station designed to perform delicate maintenance tasks and reduce the need for spacewalks.
-
D.
Brin
Brin is a surname most prominently associated with Sergey Brin, the co-founder of Google and a leading figure in the technology industry.
-
E.
Otis
Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: WATSON Triple: [Perseverance rover, hasInstrument, WATSON]
Generated description
WATSON is a close-up imaging camera on NASA’s Perseverance rover used to examine the fine details of Martian rocks and surface materials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WATSON Target entity description: WATSON is a close-up imaging camera on NASA’s Perseverance rover used to examine the fine details of Martian rocks and surface materials.
-
A.
Bixby
Bixby is Samsung's proprietary virtual assistant designed to enable voice control, smart device integration, and contextual assistance across the company's ecosystem of products.
-
B.
Wolfram
Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
-
C.
Dextre
Dextre is a two-armed robotic handyman on the International Space Station designed to perform delicate maintenance tasks and reduce the need for spacewalks.
-
D.
Brin
Brin is a surname most prominently associated with Sergey Brin, the co-founder of Google and a leading figure in the technology industry.
-
E.
Otis
Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
- F. None of above. chosen
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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62dd1bc819094a3814654448ae3 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e664e4819081badaf0ba0d86e5 |
completed | March 3, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69a655e0a2608190801fb67856bc2ac4 |
completed | March 3, 2026, 3:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a65704a964819097ad5074e83303b4 |
completed | March 3, 2026, 3:35 a.m. |
Created at: March 1, 2026, 7:37 p.m.