Triple
T20203002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deimos (mythology) |
E493270
|
entity |
| Predicate | hasEponym |
P12247
|
FINISHED |
| Object | Deimos (moon of Mars) |
—
|
NE NERFINISHED |
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: Deimos (moon of Mars) | Statement: [Deimos (mythology), hasEponym, Deimos (moon of Mars)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deimos (moon of Mars) Context triple: [Deimos (mythology), hasEponym, Deimos (moon of Mars)]
-
A.
Deimos
Deimos is the personification of terror in Greek mythology, often depicted as a companion of the war god Ares.
-
B.
Deimos
chosen
Deimos is the smaller and outermost of Mars's two irregularly shaped moons, known for its dark, cratered surface and low gravity.
-
C.
Phobos
Phobos is the larger and innermost of Mars’s two small, irregularly shaped moons, known for its rapid orbit and heavily cratered surface.
-
D.
Phobos
Phobos is the official standard library for the D programming language, providing core functionality and utilities for D developers.
-
E.
Thesan
Thesan is the Etruscan goddess of the dawn, associated with light, new beginnings, and often linked to childbirth and divination.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8ec73c8190b630599c5ceb22ac |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.