Triple
T7210432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASA Discovery Program |
E149386
|
entity |
| Predicate | mission |
P68
|
FINISHED |
| Object |
Kepler
Kepler was a NASA space telescope mission designed to discover Earth-sized exoplanets by monitoring the brightness of distant stars for transit signals.
|
E648457
|
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: Kepler | Statement: [NASA Discovery Program, mission, Kepler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kepler Context triple: [NASA Discovery Program, mission, Kepler]
-
A.
Kepler
Kepler is a prominent lunar impact crater on the Moon’s near side, notable for its bright ray system and relatively young geological age.
-
B.
Keppler
Keppler is a German surname most notably associated with Wilhelm Keppler, an industrialist and early economic adviser to Adolf Hitler.
-
C.
Képler
Képler is a given name associated with the individual known as Pepe.
-
D.
Copernicus
Copernicus is the European Union’s flagship Earth observation programme that uses satellites and ground-based systems to monitor and provide data on the planet’s environment, climate, and security.
-
E.
Kepler Track
The Kepler Track is a renowned multi-day Great Walk in New Zealand, offering alpine and lakeside scenery in the Fiordland region of the South Island.
- 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: Kepler Triple: [NASA Discovery Program, mission, Kepler]
Generated description
Kepler was a NASA space telescope mission designed to discover Earth-sized exoplanets by monitoring the brightness of distant stars for transit signals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kepler Target entity description: Kepler was a NASA space telescope mission designed to discover Earth-sized exoplanets by monitoring the brightness of distant stars for transit signals.
-
A.
Kepler
Kepler is a prominent lunar impact crater on the Moon’s near side, notable for its bright ray system and relatively young geological age.
-
B.
Keppler
Keppler is a German surname most notably associated with Wilhelm Keppler, an industrialist and early economic adviser to Adolf Hitler.
-
C.
Képler
Képler is a given name associated with the individual known as Pepe.
-
D.
Copernicus
Copernicus is the European Union’s flagship Earth observation programme that uses satellites and ground-based systems to monitor and provide data on the planet’s environment, climate, and security.
-
E.
Kepler Track
The Kepler Track is a renowned multi-day Great Walk in New Zealand, offering alpine and lakeside scenery in the Fiordland region of the South Island.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96de4f081908f29b30c95e349f5 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfc9aae48190aa432ebc0034d9b8 |
completed | March 28, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_69c7c071778881909a82eedf61cae22b |
completed | March 28, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c111e05c8190a9cfba3fca1f8198 |
completed | March 28, 2026, 11:52 a.m. |
Created at: March 27, 2026, 2:53 p.m.