Triple

T38318827
Position Surface form Disambiguated ID Type / Status
Subject The Saint in London E1036600 entity
Predicate features P997 FINISHED
Object adventures of Simon Templar
The adventures of Simon Templar follow the exploits of a suave, Robin Hood–style gentleman adventurer and vigilante known as "The Saint," who targets criminals and corrupt elites around the world.
E2264090 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: adventures of Simon Templar | Statement: [The Saint in London, features, adventures of Simon Templar]
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: adventures of Simon Templar
Triple: [The Saint in London, features, adventures of Simon Templar]
Generated description
The adventures of Simon Templar follow the exploits of a suave, Robin Hood–style gentleman adventurer and vigilante known as "The Saint," who targets criminals and corrupt elites 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_69f76e1c16fc8190bde982289dd5106b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc685fc24819098cce65425091744 completed May 7, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a419e1943788190bfd2d5239ffced71 completed June 28, 2026, 10:20 p.m.
NEDg Description generation batch_6a419f990ca4819085f4c8205bccfb52 completed June 28, 2026, 10:26 p.m.
NED2 Entity disambiguation (via description) batch_6a41a019fd788190807bb83a268fd942 completed June 28, 2026, 10:28 p.m.
Created at: May 3, 2026, 4:30 p.m.