Triple
T10212029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InSight Mars lander |
E242351
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | InSight |
E648459
|
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: InSight | Statement: [InSight Mars lander, abbreviation, InSight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: InSight Context triple: [InSight Mars lander, abbreviation, InSight]
-
A.
InSight
chosen
InSight is a NASA Mars lander mission designed to study the planet’s deep interior and seismic activity to better understand the formation and evolution of rocky planets.
-
B.
EyeSight
EyeSight is Apple’s outward-facing display system on the Vision Pro headset that shows a realistic view of the wearer’s eyes to people nearby.
-
C.
Innosight
Innosight is a strategy and innovation consulting firm co-founded by disruptive innovation theorist Clayton Christensen, known for helping organizations navigate transformational growth and change.
-
D.
Outasight
Outasight is an American singer, rapper, and songwriter known for blending hip hop, pop, and soul, best recognized for his hit single "Tonight Is the Night."
-
E.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa23bce881909b5deac612ec22cb |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652d8088c819084040883f2ab9dc6 |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:02 a.m.