Triple

T24870461
Position Surface form Disambiguated ID Type / Status
Subject Virginia Bruce E622409 entity
Predicate birthName P65 FINISHED
Object Helen Virginia Briggs
Helen Virginia Briggs was the birth name of Virginia Bruce, an American actress and singer prominent in Hollywood films of the 1930s and 1940s.
 E1783423 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: Helen Virginia Briggs | Statement: [Virginia Bruce, birthName, Helen Virginia Briggs]
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: Helen Virginia Briggs
Triple: [Virginia Bruce, birthName, Helen Virginia Briggs]
Generated description
Helen Virginia Briggs was the birth name of Virginia Bruce, an American actress and singer prominent in Hollywood films of the 1930s and 1940s.

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_69e2fac3fdbc81909c2ec49be5743cd9 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4230819248190a631eed2a0b116ce completed May 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12da5bf38481908d247051af42bb60 completed May 24, 2026, 11 a.m.
NEDg Description generation batch_6a12daf3e7948190bb82f9eac6800971 completed May 24, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a12db74542081909ede3d27600fb26b completed May 24, 2026, 11:05 a.m.
Created at: April 18, 2026, 5:23 a.m.