Triple

T23906370
Position Surface form Disambiguated ID Type / Status
Subject London After Midnight E601207 entity
Predicate featuresCharacter P626 FINISHED
Object Professor Edward Burke
Professor Edward Burke is a fictional character from the lost 1927 silent horror film "London After Midnight," directed by Tod Browning and starring Lon Chaney.
E1609486 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: Professor Edward Burke | Statement: [London After Midnight, featuresCharacter, Professor Edward Burke]
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: Professor Edward Burke
Triple: [London After Midnight, featuresCharacter, Professor Edward Burke]
Generated description
Professor Edward Burke is a fictional character from the lost 1927 silent horror film "London After Midnight," directed by Tod Browning and starring Lon Chaney.

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_69e295364a488190bcac702e9bb7f764 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ce91144c8190b894e25a45dfd7c9 completed April 29, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7632dc788190ba95964acba6d324 completed May 21, 2026, 9:16 p.m.
NEDg Description generation batch_6a0f76cd32688190ac032b5b79dba0b8 completed May 21, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78c456dc8190869c04d4a5c00ceb completed May 21, 2026, 9:27 p.m.
Created at: April 17, 2026, 8:35 p.m.