Triple

T30390155
Position Surface form Disambiguated ID Type / Status
Subject Ben Affleck as Stephen Collins E773056 entity
Predicate setIn P1393 FINISHED
Object Washington, D.C. (fictional setting context)
Washington, D.C. (fictional setting context) is a dramatized version of the U.S. capital frequently used in film and television as a backdrop for political intrigue, power struggles, and government-centered narratives.
E1189811 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: Washington, D.C. (fictional setting context) | Statement: [Ben Affleck as Stephen Collins, setIn, Washington, D.C. (fictional setting context)]
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: Washington, D.C. (fictional setting context)
Triple: [Ben Affleck as Stephen Collins, setIn, Washington, D.C. (fictional setting context)]
Generated description
Washington, D.C. (fictional setting context) is a dramatized version of the U.S. capital frequently used in film and television as a backdrop for political intrigue, power struggles, and government-centered narratives.

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_69f2248ef0a48190aa54d4d8ac3e5758 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6859bbd7c81909084682a99f2b9be completed May 2, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27894ffa788190a5aeaa78c5d766a6 completed June 9, 2026, 3:32 a.m.
NEDg Description generation batch_6a2792b7598881909e2f59770f1fa4ef completed June 9, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_6a27932c8724819091d2796739454e38 completed June 9, 2026, 4:14 a.m.
Created at: April 29, 2026, 8:02 p.m.