Triple
T19505675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "The woods are lovely, dark and deep," |
E488014
|
entity |
| Predicate | followsLineInPoem |
P117917
|
FINISHED |
| Object | "Whose woods these are I think I know." |
—
|
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: "Whose woods these are I think I know." | Statement: ["The woods are lovely, dark and deep,", followsLineInPoem, "Whose woods these are I think I know."]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsLineInPoem Context triple: ["The woods are lovely, dark and deep,", followsLineInPoem, "Whose woods these are I think I know."]
-
A.
hasRhymeLine
Indicates that one line of text rhymes with another line.
-
B.
hasFeatureInPoem
Indicates that a poem includes or is characterized by a particular feature, element, or attribute.
-
C.
containsPoem
Indicates that one entity includes or holds a poem as part of its contents.
-
D.
followsInLyricAfter
chosen
Indicates that one lyric segment or line occurs immediately after another within the sequence of a song’s lyrics.
-
E.
associatedWithPoem
Indicates a relationship in which an entity is connected or linked to a particular poem, such as by authorship, subject, reference, or contextual association.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.