Triple
T20613393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macareus |
E506502
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Rhode |
—
|
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: Rhode | Statement: [Macareus, hasRelative, Rhode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhode Context triple: [Macareus, hasRelative, Rhode]
-
A.
Rhode
chosen
Rhode is a minor sea goddess in Greek mythology, often associated with the island of Rhodes and known as a daughter of Poseidon.
-
B.
Rhode
Rhode is the middle name of American model and media personality Hailey Bieber, which she also used as the brand name for her skincare line.
-
C.
Rhode-Island-on-the-Bay
Rhode-Island-on-the-Bay is an old alternative name for Aquidneck Island, the large island in Narragansett Bay that includes the city of Newport in the U.S. state of Rhode Island.
-
D.
Darien
Darien is a coastal town in Fairfield County, Connecticut, known for its affluent residential character and location along Long Island Sound.
-
E.
Darien
Darien is a small village located in Walworth County, Wisconsin, known for its rural character and agricultural surroundings.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aada19e481909363428ceda67603 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.