Triple
T16098503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirley Feeney |
E390548
|
entity |
| Predicate | broadcastPeriodOfWork |
P7950
|
FINISHED |
| Object | 1976–1983 |
—
|
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: 1976–1983 | Statement: [Shirley Feeney, broadcastPeriodOfWork, 1976–1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastPeriodOfWork Context triple: [Shirley Feeney, broadcastPeriodOfWork, 1976–1983]
-
A.
workPeriod
chosen
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
B.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
-
C.
broadcastDay
Indicates the specific day on which a program, event, or content is broadcast or scheduled to be broadcast.
-
D.
broadcastFrequencyType
Indicates the type or category of frequency used for broadcasting a signal or transmission.
-
E.
mainWorkPeriod
Indicates the primary or most significant span of time during which an entity is active, employed, or engaged in a particular work or role.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6672848190922b5ebb90e18947 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.