Triple
T28923943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Claythorne |
E733592
|
entity |
| Predicate | linkedToNurseryRhyme |
P169467
|
FINISHED |
| Object | Ten Little Soldiers |
—
|
NE NERFINISHED |
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: Ten Little Soldiers | Statement: [Vera Claythorne, linkedToNurseryRhyme, Ten Little Soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToNurseryRhyme Context triple: [Vera Claythorne, linkedToNurseryRhyme, Ten Little Soldiers]
-
A.
hasRhymingText
Indicates that two pieces of text share a rhyming relationship, typically ending with similar or identical sounds.
-
B.
hasRhymingName
Indicates that one entity has a name that rhymes with the name of another entity.
-
C.
ChildBalladNumber
Indicates the specific catalog number assigned to a ballad in the Child Ballads classification system.
-
D.
lyricsAdaptedFrom
Indicates that the lyrics of one work are derived, adapted, or modified from the lyrics of another pre-existing work.
-
E.
isChildrensSong
chosen
Indicates that something is a song intended primarily for children, typically in terms of content, style, or audience.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 28, 2026, 8:22 a.m.