Triple
T8543231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elegy (track) |
E202250
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Elegy |
E202250
|
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: Elegy | Statement: [Elegy (track), title, Elegy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elegy Context triple: [Elegy (track), title, Elegy]
-
A.
Elegy
"Elegy" is a reflective, mournful poem by Seamus Heaney included in his 1979 collection *Field Work*, in which he meditates on loss and memory.
-
B.
Elegies
Elegies is a poignant poetry collection by Douglas Dunn that reflects on love, loss, and grief following the death of his wife.
-
C.
Elegies
Elegies is a series of erotic and metaphysical poems by John Donne that explore love, desire, and mortality in a bold, unconventional style.
-
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.
Elegy (track)
chosen
"Elegy" is a track by the American post-metal band Rosetta, featured on their album "Rosetta."
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e381d4819084e230389a3ecb77 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dabf9908190bb61ad4ddb953902 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:18 p.m.