Triple
T235514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winslow Homer |
E4500
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Homer |
E19359
|
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: Homer | Statement: [Winslow Homer, familyName, Homer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homer Context triple: [Winslow Homer, familyName, Homer]
-
A.
Homer
chosen
Homer is the legendary ancient Greek poet traditionally credited with composing the epic poems the Iliad and the Odyssey, foundational works of Western literature.
-
B.
Hesiod
Hesiod was an early ancient Greek poet, often considered a founder of Greek didactic poetry, known for works such as the Theogony and Works and Days that shaped Greek mythology and moral thought.
-
C.
Ferdowsi
Ferdowsi was a renowned 10th–11th century Persian poet best known for composing the epic Shahnameh, a cornerstone of Persian literature and cultural identity.
-
D.
Anacreon
Anacreon was an ancient Greek lyric poet renowned for his songs celebrating love, wine, and revelry.
-
E.
Michael Hart
Michael Hart was the founder of Project Gutenberg and a pioneer of digital libraries and e-books.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25ccab7648190be6e4f5febc1e313 |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36478ebcc8190b95419be9bc6bba3 |
completed | Feb. 28, 2026, 9:56 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.