Triple
T868784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orion Arm |
E18764
|
entity |
| Predicate | contains |
P35
|
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: [Orion Arm, contains, Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun Context triple: [Orion Arm, contains, 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.
The Sun
The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
-
C.
Surya
Surya is the Hindu sun god revered as a major solar deity associated with light, power, and vitality.
-
D.
Inti
Inti is the Incan sun god, revered as a principal deity associated with royal power, agriculture, and the cosmic order.
-
E.
Sunshine
"Sunshine" is a 2007 science fiction thriller film directed by Danny Boyle about a crew’s perilous mission to reignite the dying sun, featuring Cillian Murphy in a leading role.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7f98908190883f71049092c7c8 |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01af9608190b3b735c590024f03 |
completed | March 4, 2026, 5:16 a.m. |
Created at: March 1, 2026, 7:39 p.m.