Triple
T27217895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daybreak |
E681188
|
entity |
| Predicate | hasWeatherPresenter |
P91309
|
FINISHED |
| Object |
Lucy Verasamy
Lucy Verasamy is a British weather forecaster and television presenter best known for her work on ITV weather programmes.
|
E1759809
|
NE FINISHED |
How this triple was built (3 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: Lucy Verasamy | Statement: [Daybreak, hasWeatherPresenter, Lucy Verasamy]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lucy Verasamy Triple: [Daybreak, hasWeatherPresenter, Lucy Verasamy]
Generated description
Lucy Verasamy is a British weather forecaster and television presenter best known for her work on ITV weather programmes.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeatherPresenter Context triple: [Daybreak, hasWeatherPresenter, Lucy Verasamy]
-
A.
hasWeather
Indicates that a location or environment is experiencing or characterized by a particular type of weather condition.
-
B.
hasWeatherContext
Indicates that something is associated with, influenced by, or described in terms of specific weather conditions or patterns.
-
C.
hasWeatherReporter
chosen
Indicates that an entity is associated with or employs a specific weather reporter.
-
D.
canProvideWeatherInformation
Indicates that an entity has the capability to supply or answer queries about weather-related data or conditions.
-
E.
notableWeatherPresenter
Indicates that the subject is a well-known or prominent presenter or broadcaster of weather information.
- F. None of above.
Provenance (6 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_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1253aaf5b88190a053e3f8cb9a8881 |
completed | May 24, 2026, 1:26 a.m. |
| NEDg | Description generation | batch_6a1254349d388190b85474fb0a86bab3 |
completed | May 24, 2026, 1:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1254f46d288190aa6f45f8c8e9007d |
completed | May 24, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 9:42 a.m.