Triple
T10719217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dianna Agron |
E252771
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Agron |
E464923
|
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: Agron | Statement: [Dianna Agron, familyName, Agron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agron Context triple: [Dianna Agron, familyName, Agron]
-
A.
Agron
Agron is an early Hebrew dictionary and thesaurus compiled by Saadia Gaon to aid in the study and composition of Hebrew poetry and scripture.
-
B.
Agron
Agron is a prominent rebel warrior and close ally of Spartacus in the television series "Spartacus: War of the Damned."
-
C.
Agron
Agron was a prominent king of the Illyrians known for significantly expanding their power in the western Balkans during the 3rd century BCE.
-
D.
Nisaea
Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
-
E.
Ager
Ager is a surname most notably associated with American composer and songwriter Milton Ager, known for popular songs of the early 20th century.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3722ec8190b2d78a5630bf6efc |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.