Triple
T18842772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eosphorus |
E460837
|
entity |
| Predicate | equivalentTo |
P6530
|
FINISHED |
| Object | Eosphoros |
—
|
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: Eosphoros | Statement: [Eosphorus, equivalentTo, Eosphoros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eosphoros Context triple: [Eosphorus, equivalentTo, Eosphoros]
-
A.
Eosphorus
chosen
Eosphorus is the personification of the Morning Star (the planet Venus as seen at dawn) in Greek mythology.
-
B.
Phaenon
Phaenon is an ancient Greek personification of the planet Saturn, counted among the Astra Planeta, the deities of the wandering stars.
-
C.
Praxeus
"Praxeus" is an episode of the British science fiction television series Doctor Who that explores a mysterious global infection linked to environmental pollution.
-
D.
Eteon
Eteon is a shadowy, high-tech terrorist organization in the Fast & Furious franchise, known for its advanced cybernetic enhancements and global destabilization schemes.
-
E.
Phevos
Phevos is one of the official mascots of the 2004 Athens Olympic Games, inspired by ancient Greek culture and mythology.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8eb32548190b2313e877f6ff179 |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.