Triple
T4648129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agamemnon |
E102222
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Menelaus |
E109281
|
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: Menelaus | Statement: [Agamemnon, sibling, Menelaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menelaus Context triple: [Agamemnon, sibling, Menelaus]
-
A.
Menelaus
chosen
Menelaus is the legendary king of Sparta in Greek mythology, husband of Helen, and a central figure in the events surrounding the Trojan War.
-
B.
Jane Menelaus
Jane Menelaus is an Australian actress known for her work in film, television, and theatre, and for her long-term partnership with actor Geoffrey Rush.
-
C.
Eugenios
Eugenios is a variant form of the given name Eugenio, commonly used in Greek and related linguistic traditions.
-
D.
Apollo Ismenios
Apollo Ismenios is a local Theban form of the Greek god Apollo, venerated especially at the Ismenion sanctuary near the river Ismenus.
-
E.
Pherendates
Pherendates was an Achaemenid Persian official who served as satrap (provincial governor) of Egypt during the early period of Persian rule.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd62feeb6c8190a7807c37e9a6fa00 |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be037117c48190a40731d00889be77 |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:14 p.m.