Triple

T34263091
Position Surface form Disambiguated ID Type / Status
Subject Smart Blonde E879087 entity
Predicate starring P1507 FINISHED
Object Winifred Shaw
Winifred Shaw was an American actress and singer of the 1930s and 1940s, best remembered for her roles in Warner Bros. films and for introducing the song "Lullaby of Broadway" in the film Gold Diggers of 1935.
E2097201 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: Winifred Shaw | Statement: [Smart Blonde, starring, Winifred Shaw]
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: Winifred Shaw
Triple: [Smart Blonde, starring, Winifred Shaw]
Generated description
Winifred Shaw was an American actress and singer of the 1930s and 1940s, best remembered for her roles in Warner Bros. films and for introducing the song "Lullaby of Broadway" in the film Gold Diggers of 1935.

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_69f349b421cc8190b4b4655e1d612548 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f712c3cbe88190bdae67ad1c2ce195 completed May 3, 2026, 9:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37181866648190a82d8197c711c753 completed June 20, 2026, 10:45 p.m.
NEDg Description generation batch_6a37194415288190aa91266fca5cd697 completed June 20, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a371a11d1088190a9156de452da374b completed June 20, 2026, 10:54 p.m.
Created at: May 1, 2026, 1:56 a.m.