Triple
T19153540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do not go gentle into that good night |
E468867
|
entity |
| Predicate | finalStanzaLineCount |
P27487
|
FINISHED |
| Object | 4 |
—
|
LITERAL 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: 4 | Statement: [Do not go gentle into that good night, finalStanzaLineCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalStanzaLineCount Context triple: [Do not go gentle into that good night, finalStanzaLineCount, 4]
-
A.
lineCountPerStanza
chosen
Indicates the number of lines contained in each stanza of a poem or song.
-
B.
finalLine
Indicates that something is the last or concluding line in a sequence, text, or structured content.
-
C.
finalLineMeter
Indicates that the metrical pattern or structure of the final line of a text, verse, or utterance is being specified or characterized.
-
D.
lastStanzaLetter
Indicates that a given letter is the final letter of the last stanza in a text or poem.
-
E.
numberOfOfficialStanzas
Indicates the total count of officially recognized stanzas associated with an entity, such as a song, poem, or anthem.
- F. None of above.
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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb7575c8190b52a9d2bde5ac288 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.