Triple
T5363110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael E. Brown |
E103066
|
entity |
| Predicate | hasDiscovered |
P31387
|
FINISHED |
| Object | Orcus |
E80084
|
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: Orcus | Statement: [Michael E. Brown, hasDiscovered, Orcus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orcus Context triple: [Michael E. Brown, hasDiscovered, Orcus]
-
A.
Orcus
Orcus is a Roman god of the underworld, associated with punishing oath-breakers and often identified with or as an aspect of Pluto.
-
B.
Orcus
chosen
Orcus is a large trans-Neptunian dwarf-planet candidate in the Kuiper Belt, often considered a "twin" of Pluto due to its similar size, orbit, and composition.
-
C.
Tartaro
Tartaro is a river in northern Italy that flows through the Veneto and Lombardy regions before joining the Mincio.
-
D.
Chthonia
Chthonia is an epithet of the goddess Hecate emphasizing her role as an underworld and earth-associated deity linked to the hidden, chthonic realms.
-
E.
Auxerrois
Auxerrois refers to a person from the city of Auxerre in France, and by extension can also denote things associated with that city.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865b9b808190a1e8c283ba28d645 |
completed | March 20, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21f2bc708190b596c5402fa07e75 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:02 p.m.