Triple

T30458013
Position Surface form Disambiguated ID Type / Status
Subject Brené Brown E774917 entity
Predicate hasTEDTalk P190057 FINISHED
Object Listening to shame
"Listening to Shame" is a widely viewed TED Talk by researcher and storyteller Brené Brown that explores the power of vulnerability and the destructive impact of shame on our lives.
 E1915585 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: Listening to shame | Statement: [Brené Brown, hasTEDTalk, Listening to shame]
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: Listening to shame
Triple: [Brené Brown, hasTEDTalk, Listening to shame]
Generated description
"Listening to Shame" is a widely viewed TED Talk by researcher and storyteller Brené Brown that explores the power of vulnerability and the destructive impact of shame on our lives.

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_69f22494fb60819095d893de0284f886 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fcb0feb0f08190ac46032b80f2962d completed May 7, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798cce0b481909283f7d4a156472c completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a279b16388c8190b4b917926879ab4c completed June 9, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_6a279bca03d48190925381f94781a853 completed June 9, 2026, 4:51 a.m.
Created at: April 29, 2026, 8:10 p.m.