Triple
T156226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun |
E3186
|
entity |
| Predicate | hasEnglishName |
P3437
|
FINISHED |
| Object | Sun |
E3186
|
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: Sun | Statement: [Sun, hasEnglishName, Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun Context triple: [Sun, hasEnglishName, Sun]
-
A.
Sun
chosen
The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
-
B.
Moon
The Moon is Earth's only natural satellite, a rocky celestial body that orbits our planet and significantly influences tides, calendars, and human culture.
-
C.
Alcyone
Alcyone is one of the Pleiades in Greek mythology, a daughter of the Titan Atlas and often associated with the star cluster of the same name.
-
D.
Iapetus
Iapetus is a Titan from Greek mythology, often associated with mortality and craftsmanship and known as the father of Prometheus, Epimetheus, Atlas, and Menoetius.
-
E.
Saturn
Saturn was an American automobile manufacturer created by General Motors as a separate, innovative small-car brand aimed at competing with Japanese imports.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2582eb6408190beb38213c7d7d968 |
completed | Feb. 28, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2ce395d54819090f2fd74bb45ab6a |
completed | Feb. 28, 2026, 11:15 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.