Triple
T11903809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Acharnians |
E283223
|
entity |
| Predicate | firstPerformanceFestival |
P17034
|
FINISHED |
| Object | Lenaia |
E99719
|
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: Lenaia | Statement: [The Acharnians, firstPerformanceFestival, Lenaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenaia Context triple: [The Acharnians, firstPerformanceFestival, Lenaia]
-
A.
Lenaia
chosen
Lenaia was an ancient Athenian winter festival in honor of Dionysus, featuring dramatic competitions and celebrations of wine and fertility.
-
B.
Laleia
Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
-
C.
Tenea
Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
-
D.
Lavia
Lavia is a small municipality in southwestern Finland known for its rural landscapes and proximity to the town of Sastamala.
-
E.
Seyla
Seyla is a Turkish-American philosopher and political theorist known for her influential work on critical theory, democracy, and cosmopolitanism.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4587d1e548190b741a11d2ef63595 |
completed | May 1, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:44 p.m.