Triple
T20566118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Odes |
E504969
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Odes |
—
|
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: Odes | Statement: [Book of Odes, hasAlternativeName, Odes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odes Context triple: [Book of Odes, hasAlternativeName, Odes]
-
A.
Odes
Odes is a collection of lyric poems by French poet Jean-Baptiste Rousseau, celebrated for its classical style and satirical edge in early 18th-century French literature.
-
B.
Odes
chosen
Odes is the celebrated collection of lyric poems by the Roman poet Horace, renowned for its refined style and exploration of themes such as love, politics, and the art of living.
-
C.
Odes
Odes is a poetry collection by Sharon Olds that offers intimate, candid, and often celebratory explorations of the human body, sexuality, and everyday life.
-
D.
Odes
Odes is a major poetic collection by French Renaissance poet Pierre de Ronsard, showcasing his classical influences and helping establish his reputation as the “Prince of Poets.”
-
E.
Odes
Odes is a collection of lyrical poems by French poet André Chénier, showcasing his classical style and emotional intensity.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.