Triple

T37101693
Position Surface form Disambiguated ID Type / Status
Subject Williams Street Records E918719 entity
Predicate parentCompany P254 FINISHED
Object Williams Street Productions
Williams Street Productions is an American television production company best known for creating and producing Adult Swim programming for Cartoon Network.
 E2212698 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: Williams Street Productions | Statement: [Williams Street Records, parentCompany, Williams Street Productions]
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: Williams Street Productions
Triple: [Williams Street Records, parentCompany, Williams Street Productions]
Generated description
Williams Street Productions is an American television production company best known for creating and producing Adult Swim programming for Cartoon Network.

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_69f76e9b99c8819096164b21ff5bd996 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2ff04498819086f49f5320ecd6a4 completed May 6, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdd4d6d08190a76f0400c5ee86e6 completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3effa3634c8190b8da9b6d3bcd553f completed June 26, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_6a3f1b8ed57c8190b8e453c3463d2b3d completed June 27, 2026, 12:38 a.m.
Created at: May 3, 2026, 4:14 p.m.