Triple

T37353984
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Wade E927401 entity
Predicate subjectOf P38 FINISHED
Object television series Monsters of the Deep
Monsters of the Deep is a documentary television series in which angler and biologist Jeremy Wade investigates legendary sea creatures and mysterious aquatic phenomena around the world.
 E2223928 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: television series Monsters of the Deep | Statement: [Jeremy Wade, subjectOf, television series Monsters of the Deep]
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: television series Monsters of the Deep
Triple: [Jeremy Wade, subjectOf, television series Monsters of the Deep]
Generated description
Monsters of the Deep is a documentary television series in which angler and biologist Jeremy Wade investigates legendary sea creatures and mysterious aquatic phenomena around the world.

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_69f76eb5e034819088e53ab5b7909a68 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5bc312c88190989761c6dd48a961 completed May 6, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406ce0c0bc81908b91c0b10e0274a6 completed June 28, 2026, 12:37 a.m.
NEDg Description generation batch_6a406e45fdb88190a249e22b487490a3 completed June 28, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_6a406ea13c788190a30eb5de2d8bccfd completed June 28, 2026, 12:45 a.m.
Created at: May 3, 2026, 4:16 p.m.