Triple

T33771629
Position Surface form Disambiguated ID Type / Status
Subject Roxy Mitchell E865395 entity
Predicate hasLoveInterest P7325 FINISHED
Object Christian Clarke
Christian Clarke is a fictional character from the British soap opera "EastEnders," known for his storylines involving his sexuality and relationships within the show's Albert Square community.
E2068409 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: Christian Clarke | Statement: [Roxy Mitchell, hasLoveInterest, Christian Clarke]
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: Christian Clarke
Triple: [Roxy Mitchell, hasLoveInterest, Christian Clarke]
Generated description
Christian Clarke is a fictional character from the British soap opera "EastEnders," known for his storylines involving his sexuality and relationships within the show's Albert Square community.

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_69f3498df6f88190bf9647ea4e4a956e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fc92b88c8190b36372a139f698e7 completed May 3, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36658106208190b7c0e6528a6253da completed June 20, 2026, 10:03 a.m.
NEDg Description generation batch_6a3668a0ad708190999d839607d910f0 completed June 20, 2026, 10:17 a.m.
NED2 Entity disambiguation (via description) batch_6a366925d6b4819084820ff714b9dc5b completed June 20, 2026, 10:19 a.m.
Created at: May 1, 2026, 1:45 a.m.