Triple
T5374188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earthlight |
E108920
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Moon |
E4619
|
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: Moon | Statement: [Earthlight, setting, Moon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moon Context triple: [Earthlight, setting, Moon]
-
A.
Moon
chosen
The Moon is Earth's only natural satellite, a rocky celestial body that orbits our planet and significantly influences tides, calendars, and human culture.
-
B.
Moon
Moon is a 2009 science fiction film directed by Duncan Jones that follows a solitary astronaut nearing the end of his three-year stint on a lunar mining base, exploring themes of identity, memory, and corporate ethics.
-
C.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
D.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
E.
Mwenezi
Mwenezi is a rural district and communal area in southern Zimbabwe known for cattle ranching, sugar estates, and its location along the Mwenezi River in Masvingo Province.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86ad820081908763765dcbc99cbf |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf293ba6a08190bcbecf465e4e5881 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:03 p.m.