Triple
T19510612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anu Komsi |
E488141
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Anu |
—
|
NE NERFINISHED |
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: Anu | Statement: [Anu Komsi, givenName, Anu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anu Context triple: [Anu Komsi, givenName, Anu]
-
A.
Anu
chosen
Anu is the ancient Mesopotamian sky god and supreme ruler of the pantheon, associated with authority, kingship, and the heavens.
-
B.
Anu
Anu is the young protagonist of the acclaimed Bangladeshi film "Matir Moina" ("The Clay Bird"), whose coming-of-age story unfolds against the backdrop of political and religious turmoil in 1960s East Pakistan.
-
C.
Anatii
Anatii is a South African rapper, singer, and record producer known for his genre-blending sound and collaborations with major international artists.
-
D.
Anhée
Anhée is a municipality in the province of Namur in Wallonia, Belgium, known for its rural character and location along the Meuse River.
-
E.
Asaa
Asaa is a small coastal town in northern Denmark known for its harbor and sandy beaches along the Kattegat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63516572c8190a8719c51fd3f7147 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.