Triple
T30458012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brené Brown |
E774917
|
entity |
| Predicate | hasTEDTalk |
P190057
|
FINISHED |
| Object | The power of vulnerability |
—
|
NE NERFINISHED |
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: The power of vulnerability | Statement: [Brené Brown, hasTEDTalk, The power of vulnerability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTEDTalk Context triple: [Brené Brown, hasTEDTalk, The power of vulnerability]
-
A.
hasTEDTalkCompanion
Indicates that an entity has an associated TED Talk that serves as a companion or supplementary resource.
-
B.
lecturedOn
Indicates that one entity delivered a lecture or formal talk about a particular subject or topic to an audience.
-
C.
hasSpeakersIn
Indicates that an entity (such as an event, conference, or session) includes or is associated with speakers located in or belonging to a specified place or group.
-
D.
hasSpeakersAmong
Indicates that a group, event, or entity includes one or more speakers drawn from a specified set or category.
-
E.
hasGivenLecturesOn
Indicates that one entity has delivered or presented lectures on a particular subject, topic, or field to an audience.
- F. None of above. chosen
Provenance (4 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_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: April 29, 2026, 8:10 p.m.