Triple
T27217897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daybreak |
E681188
|
entity |
| Predicate | hasNewsreader |
P189419
|
FINISHED |
| Object | Tasmin Lucia-Khan |
—
|
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: Tasmin Lucia-Khan | Statement: [Daybreak, hasNewsreader, Tasmin Lucia-Khan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNewsreader Context triple: [Daybreak, hasNewsreader, Tasmin Lucia-Khan]
-
A.
hasReading
Indicates that an entity is associated with a particular reading, such as a measured value, interpretation, or recorded observation.
-
B.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
-
C.
hasNewsPortal
Indicates that an entity operates, maintains, or is associated with a dedicated online news portal.
-
D.
hadNewspaper
Indicates that an entity possessed or was in ownership of a newspaper at a particular time.
-
E.
usesReading
Indicates that one entity employs or relies on a particular reading (e.g., a text, measurement, or interpretation) in performing an action or fulfilling a function.
- F. None of above. chosen
Provenance (4 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_69eefac9f64c8190a07490fe0c8b72a3 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 27, 2026, 9:42 a.m.