Triple
T15490562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telchines |
E378670
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Rhea |
E21593
|
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: Rhea | Statement: [Telchines, associatedWith, Rhea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhea Context triple: [Telchines, associatedWith, Rhea]
-
A.
Rhea
chosen
Rhea is a Titaness in Greek mythology, best known as the mother of several Olympian gods, including Zeus, whom she saved from being devoured by his father Cronus.
-
B.
Rhea
Rhea is the second-largest moon of Saturn, an icy, heavily cratered satellite discovered in 1672 by Giovanni Domenico Cassini.
-
C.
Rhea
Rhea is a genus of large, flightless birds native to South America, commonly known as rheas and related to ostriches and emus.
-
D.
Rhea
Rhea is the given name of American actress Rhea Seehorn, best known for her role as Kim Wexler on the television series "Better Call Saul."
-
E.
Rhea
Rhea is a character in Jennifer Egan's novel "A Visit from the Goon Squad," closely connected to the book’s punk-rock scene and its intertwined group of friends.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365f27c48190822254b6da504d3d |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:48 a.m.