Triple
T3934883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Aegospotami |
E90884
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Conon |
E76244
|
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: Conon | Statement: [Battle of Aegospotami, commander, Conon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conon Context triple: [Battle of Aegospotami, commander, Conon]
-
A.
Conon
Conon was a prominent 5th–4th century BCE Athenian admiral best known for rebuilding Athens’ naval power after its defeat in the Peloponnesian War.
-
B.
Pelineon
Pelineon is a prominent mountain located on the Greek island of Chios in the Aegean Sea.
-
C.
Lebbaeus
Lebbaeus is an alternative name traditionally associated with the apostle Thaddaeus, one of the Twelve Apostles of Jesus in the New Testament.
-
D.
Cleon
chosen
Cleon was an influential Athenian statesman and general during the Peloponnesian War, known for his aggressive policies and prominent role in Athenian politics.
-
E.
Stylius
Stylius is a consumer products brand likely focused on personal or household items within the Consumer Products Division’s portfolio.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcbf0188190a5e828707a77752a |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288b7538819084936489226dd31f |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:23 p.m.