Triple

T34872187
Position Surface form Disambiguated ID Type / Status
Subject George Tuttle Brokaw E1005779 entity
Predicate relative P37 FINISHED
Object Elvira Tuttle Brokaw
Elvira Tuttle Brokaw was a member of the prominent American Brokaw family, known primarily through her familial connection to businessman and socialite George Tuttle Brokaw.
E2117379 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: Elvira Tuttle Brokaw | Statement: [George Tuttle Brokaw, relative, Elvira Tuttle Brokaw]
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: Elvira Tuttle Brokaw
Triple: [George Tuttle Brokaw, relative, Elvira Tuttle Brokaw]
Generated description
Elvira Tuttle Brokaw was a member of the prominent American Brokaw family, known primarily through her familial connection to businessman and socialite George Tuttle Brokaw.

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_69f76dbde1c08190a24e7f9beb564c8d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78184f2408190b27eb2298c74413d completed May 3, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786d2e15881909570643adb7cfb6d completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a3789e8f3dc8190ab7e0b22d76e6f63 completed June 21, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_6a378ac6a43c819094e2c544a6db2851 completed June 21, 2026, 6:55 a.m.
Created at: May 3, 2026, 4 p.m.