Triple
T10641370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandra |
E250728
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Candra |
E659121
|
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: Candra | Statement: [Chandra, hasVariant, Candra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candra Context triple: [Chandra, hasVariant, Candra]
-
A.
Selene
Selene is the tourist lunar excursion vehicle featured in Arthur C. Clarke’s science fiction novel "A Fall of Moondust."
-
B.
Selene
Selene is the Greek goddess and personification of the Moon, often depicted driving a silver chariot across the night sky.
-
C.
Rahu
chosen
Rahu is a shadowy celestial deity in Hindu astrology and mythology, associated with eclipses, karmic obstacles, and one of the nine planetary influences (Navagraha).
-
D.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
E.
Luna
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcd19648190882380d2c90be486 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bcd8c0c8190a0fad6a85b5604bb |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:05 p.m.