Triple
T20806414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonnet 20 |
E512167
|
entity |
| Predicate | firstQuatrainFocus |
P141896
|
FINISHED |
| Object | comparison of the youth to a woman |
—
|
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: comparison of the youth to a woman | Statement: [Sonnet 20, firstQuatrainFocus, comparison of the youth to a woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstQuatrainFocus Context triple: [Sonnet 20, firstQuatrainFocus, comparison of the youth to a woman]
-
A.
firstSeriesFocusesOn
Indicates that the initial installment or season in a series primarily centers on or is devoted to a particular subject, character, or theme.
-
B.
firstVerseText
Indicates the textual content that appears in the first verse of something, such as a song, poem, or hymn.
-
C.
firstSyllable
Indicates that one entity is the first syllable occurring at the beginning of another entity (typically a word or phrase).
-
D.
firstQuarter
Indicates that an event, state, or condition occurs during the first quarter of a defined time period (such as a year or fiscal year).
-
E.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
- F. None of above. chosen
Provenance (4 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2cfdee481908e42a1a8940ea40c |
completed | April 21, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:40 p.m.