Triple
T16922124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radiation Assessment Detector |
E410465
|
entity |
| Predicate | hostRover |
P53280
|
FINISHED |
| Object | Curiosity |
E394685
|
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: Curiosity | Statement: [Radiation Assessment Detector, hostRover, Curiosity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curiosity Context triple: [Radiation Assessment Detector, hostRover, Curiosity]
-
A.
Curiosity
chosen
Curiosity is NASA’s car-sized Mars rover launched in 2011 to explore Gale Crater and investigate the planet’s past habitability.
-
B.
Curiosity
Curiosity is a pop EP by Canadian singer Carly Rae Jepsen that helped launch her international breakthrough in the early 2010s.
-
C.
Curious
"Curious" is a popular dancehall track by Jamaican artist Shenseea that showcases her catchy melodies and confident, flirtatious style.
-
D.
A Natural Curiosity
A Natural Curiosity is a 1989 novel by British author Margaret Drabble that continues the story of characters from her earlier work The Radiant Way, exploring contemporary social and psychological issues in late-20th-century Britain.
-
E.
Kurious
Kurious is an American rapper known for his witty, offbeat lyricism and contributions to the 1990s New York underground hip-hop scene.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdef7df881908b69aa3c4f50ef94 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc024d7c8190b8055833ed8908d5 |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:30 a.m.