Triple
T19645067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Allen |
E471652
|
entity |
| Predicate | firstKnownPublicationForm |
P35132
|
FINISHED |
| Object | broadside ballad |
—
|
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: broadside ballad | Statement: [Barbara Allen, firstKnownPublicationForm, broadside ballad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstKnownPublicationForm Context triple: [Barbara Allen, firstKnownPublicationForm, broadside ballad]
-
A.
originalPublicationForm
chosen
Indicates the format or medium in which a work was first originally published.
-
B.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
-
C.
firstKnownPublicationTitle
Indicates the title of the earliest known publication associated with an entity.
-
D.
initialPublicationForm
Indicates the original format or medium in which a work was first published.
-
E.
firstPublicationContext
Indicates the original context or setting (such as venue, medium, or circumstance) in which something was first published.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6412452d481908b6946cad3c411d5 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.