Triple
T23170026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Child Is This? |
E578824
|
entity |
| Predicate | textMeter |
P82742
|
FINISHED |
| Object | 8.7.8.7 with refrain |
—
|
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: 8.7.8.7 with refrain | Statement: [What Child Is This?, textMeter, 8.7.8.7 with refrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textMeter Context triple: [What Child Is This?, textMeter, 8.7.8.7 with refrain]
-
A.
graphicCharactersCount
Indicates the number of printable (non-control) characters present in a given text or string.
-
B.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical context.
-
C.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
D.
textCharacter
Indicates that one entity is a character (such as a letter, digit, or symbol) within a piece of text associated with another entity.
-
E.
writtenInMetre
chosen
Indicates that a piece of writing is composed using a specific metrical pattern or rhythmic structure.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2f10208190b3a0f9a4c790cb0a |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:03 p.m.