Triple
T19830027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Famous for Killing Each Other: Music from and Inspired by Hatfields & McCoys |
E476432
|
entity |
| Predicate | timePeriodOfRelatedWork |
P302
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [Famous for Killing Each Other: Music from and Inspired by Hatfields & McCoys, timePeriodOfRelatedWork, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfRelatedWork Context triple: [Famous for Killing Each Other: Music from and Inspired by Hatfields & McCoys, timePeriodOfRelatedWork, late 19th century]
-
A.
collaborationPeriod
Indicates the time span during which two or more entities are actively engaged in a collaborative relationship or joint activity.
-
B.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
-
C.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
D.
periodOfFieldwork
Indicates the time span during which the fieldwork activity took place.
-
E.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cd9b94819081a541bb6c5c2942 |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.