Triple

T32293685
Position Surface form Disambiguated ID Type / Status
Subject Twenties E825031 entity
Predicate executiveProducer P7225 FINISHED
Object Susan Fales-Hill
Susan Fales-Hill is an American television writer and producer known for her work on groundbreaking series that center Black experiences and complex female characters.
 E2162180 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: Susan Fales-Hill | Statement: [Twenties, executiveProducer, Susan Fales-Hill]
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: Susan Fales-Hill
Triple: [Twenties, executiveProducer, Susan Fales-Hill]
Generated description
Susan Fales-Hill is an American television writer and producer known for her work on groundbreaking series that center Black experiences and complex female characters.

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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd38959c8190ab96268f1c8016e7 completed May 3, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a38ae0622548190acbb9c4b674e4798 completed June 22, 2026, 3:37 a.m.
NEDg Description generation batch_6a38b06544c481909b80df630265c8b8 completed June 22, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_6a38b0f5d24881909014f9d2539b0138 completed June 22, 2026, 3:50 a.m.
Created at: May 1, 2026, 12:44 a.m.