Triple

T29278868
Position Surface form Disambiguated ID Type / Status
Subject WBTV E742314 entity
Predicate hasWeatherBrand P40804 FINISHED
Object First Alert Weather
First Alert Weather is WBTV's branded weather service that provides viewers with forecasts, severe weather alerts, and up-to-date meteorological coverage.
 E1858407 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: First Alert Weather | Statement: [WBTV, hasWeatherBrand, First Alert Weather]
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: First Alert Weather
Triple: [WBTV, hasWeatherBrand, First Alert Weather]
Generated description
First Alert Weather is WBTV's branded weather service that provides viewers with forecasts, severe weather alerts, and up-to-date meteorological coverage.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasWeatherBrand
Context triple: [WBTV, hasWeatherBrand, First Alert Weather]
  • A. hasBrandType
    Indicates that an entity is associated with or categorized under a particular brand type or classification.
  • B. hasBrandName chosen
    Indicates that an entity is associated with or identified by a specific brand name.
  • C. isBrand
    Indicates that one entity functions as the commercial brand or label associated with another entity.
  • D. hasBrandConcept
    Indicates that an entity is associated with or embodies a particular brand concept or branding idea.
  • E. usedBrandOf
    Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
  • 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_69f09121ed8c8190b4cb27be3619c262 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f676f968d08190a4adba0439b438c9 completed May 2, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25893f395c81909db03e9acf4a530a completed June 7, 2026, 3:07 p.m.
NEDg Description generation batch_6a258d278f888190a2f409e4a14451b2 completed June 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a259116749c8190a2890948fa6af3f5 completed June 7, 2026, 3:41 p.m.
PD Predicate disambiguation batch_69f675ff62c48190a634bbb8896973b9 completed May 2, 2026, 10:09 p.m.
Created at: April 28, 2026, 12:53 p.m.