Triple
T19562336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibullus |
E489484
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Elegies, Book 2 |
E789032
|
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: Elegies, Book 2 | Statement: [Tibullus, notableWork, Elegies, Book 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elegies, Book 2 Context triple: [Tibullus, notableWork, Elegies, Book 2]
-
A.
Elegies
Elegies is a series of erotic and metaphysical poems by John Donne that explore love, desire, and mortality in a bold, unconventional style.
-
B.
Elegies
chosen
Elegies is a collection of Latin love elegies by the Roman poet Propertius, renowned for its intense emotional introspection and sophisticated poetic style.
-
C.
Elegies
Elegies is a poignant poetry collection by Douglas Dunn that reflects on love, loss, and grief following the death of his wife.
-
D.
Elegies
"Elegies" is a collection of poetic works attributed to the ancient Greek philosopher and statesman Critias, reflecting his intellectual and political concerns in elegiac verse.
-
E.
Elegies
"Elegies" is a major poetic sequence by Muriel Rukeyser that blends personal reflection with political and historical themes in an experimental modernist style.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f74fdb08190852461b5d5c954ac |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f06fa588190bbc15c30137d3379 |
completed | May 15, 2026, 5:59 p.m. |
Created at: April 10, 2026, 1:42 p.m.