Triple

T29126587
Position Surface form Disambiguated ID Type / Status
Subject Zoe Perry E738245 entity
Predicate notableRole P22 FINISHED
Object Mary Cooper in Young Sheldon
Mary Cooper in Young Sheldon is the devout, no-nonsense yet loving mother of young Sheldon Cooper, known for balancing her strong Christian faith with raising a gifted but socially awkward son in East Texas.
E729251 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: Mary Cooper in Young Sheldon | Statement: [Zoe Perry, notableRole, Mary Cooper in Young Sheldon]
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: Mary Cooper in Young Sheldon
Triple: [Zoe Perry, notableRole, Mary Cooper in Young Sheldon]
Generated description
Mary Cooper in Young Sheldon is the devout, no-nonsense yet loving mother of young Sheldon Cooper, known for balancing her strong Christian faith with raising a gifted but socially awkward son in East Texas.

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_69f07cb29cdc8190afa55444553de60c completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6622a39d48190b2e3bda35831060a completed May 2, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2537d1e3548190b843150dfd2a622a completed June 7, 2026, 9:20 a.m.
NEDg Description generation batch_6a253bbd62288190b2cc1a79051748a7 completed June 7, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_6a253f918e1081909cc569d20fa9bf35 completed June 7, 2026, 9:53 a.m.
Created at: April 28, 2026, 11:28 a.m.