Triple

T24062940
Position Surface form Disambiguated ID Type / Status
Subject The New Normal E596002 entity
Predicate mainCharacter P1183 FINISHED
Object Goldie Clemmons
Goldie Clemmons is a central protagonist in the television series "The New Normal," portrayed as a young single mother who becomes a surrogate for a gay couple seeking to start a family.
E1626039 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: Goldie Clemmons | Statement: [The New Normal, mainCharacter, Goldie Clemmons]
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: Goldie Clemmons
Triple: [The New Normal, mainCharacter, Goldie Clemmons]
Generated description
Goldie Clemmons is a central protagonist in the television series "The New Normal," portrayed as a young single mother who becomes a surrogate for a gay couple seeking to start a family.

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_69e288c25c008190850cf447940ab181 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1da5825548190b94cb6e708617a7d completed April 29, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbcfbd8c88190be8b023849ce9590 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fc0d4bbb48190ad0a2adfd7dc3746 completed May 22, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0fc17855cc8190b4a353b7e94fa0c3 completed May 22, 2026, 2:37 a.m.
Created at: April 17, 2026, 10:39 p.m.