Triple

T34297733
Position Surface form Disambiguated ID Type / Status
Subject Sali Sayler E880078 entity
Predicate notableWork P4 FINISHED
Object The Ward
The Ward is a creative work associated with designer and artist Sali Sayler, reflecting her contemporary visual and conceptual style.
E2109674 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: The Ward | Statement: [Sali Sayler, notableWork, The Ward]
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: The Ward
Triple: [Sali Sayler, notableWork, The Ward]
Generated description
The Ward is a creative work associated with designer and artist Sali Sayler, reflecting her contemporary visual and conceptual style.

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_69f349b79f6c81909cb468c92c39c74d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71333b86c81909c0e739fb85b9a2d completed May 3, 2026, 9:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a375bc6a4208190b8b6ebb3e8c8993c completed June 21, 2026, 3:34 a.m.
NEDg Description generation batch_6a375d386c388190b590d72e5426dd77 completed June 21, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_6a375d9623888190b8766e4f1a5bd898 completed June 21, 2026, 3:42 a.m.
Created at: May 1, 2026, 1:57 a.m.