Triple
T4886312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurystheus |
E109446
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Sthenelus of Mycenae |
E478310
|
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: Sthenelus of Mycenae | Statement: [Eurystheus, predecessor, Sthenelus of Mycenae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sthenelus of Mycenae Context triple: [Eurystheus, predecessor, Sthenelus of Mycenae]
-
A.
Sthenelus of Mycenae
chosen
Sthenelus of Mycenae is a figure in Greek mythology, a Mycenaean prince known primarily as the son of King Eurystheus.
-
B.
king of Tiryns
The king of Tiryns is the mythological ruler in Greek legend who imposed the Twelve Labors upon the hero Heracles.
-
C.
Leonidas of Naxos
Leonidas of Naxos was an ancient Greek figure from the island of Naxos, notable enough in antiquity to have the Leonidaion building named in his honor.
-
D.
Heleus
Heleus is a figure in Greek mythology known as a son of Perseus and Andromeda.
-
E.
Libon of Elis
Libon of Elis was an ancient Greek architect best known for designing the classical Doric Temple of Zeus at Olympia in the 5th century BCE.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77975ad08190a427bcf1c01e364f |
completed | March 21, 2026, 10:48 a.m. |
Created at: March 20, 2026, 1:28 p.m.