Triple

T33040128
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Marlowe E845435 entity
Predicate worksAt P7 FINISHED
Object reception desk at WKRP
The reception desk at WKRP is the front-office workstation in the fictional Cincinnati radio station from the sitcom "WKRP in Cincinnati," where the glamorous and efficient receptionist Jennifer Marlowe greets visitors and manages calls.
 E2034067 NE 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: reception desk at WKRP | Statement: [Jennifer Marlowe, worksAt, reception desk at WKRP]
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: reception desk at WKRP
Triple: [Jennifer Marlowe, worksAt, reception desk at WKRP]
Generated description
The reception desk at WKRP is the front-office workstation in the fictional Cincinnati radio station from the sitcom "WKRP in Cincinnati," where the glamorous and efficient receptionist Jennifer Marlowe greets visitors and manages calls.

Provenance (5 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_69f34951348c8190b56746b0a7018182 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d3106a908190b2251e5c230554c4 completed May 3, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34e514028881909b035453ccb154cd completed June 19, 2026, 6:43 a.m.
NEDg Description generation batch_6a34e5e7ca0c8190b09741dfb9c7bdb0 completed June 19, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a34e70605548190895680498d4f6066 completed June 19, 2026, 6:51 a.m.
Created at: May 1, 2026, 1:24 a.m.