Triple
T29361046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Vennett |
E744590
|
entity |
| Predicate | explainsToAudience |
P166677
|
FINISHED |
| Object | mechanics of mortgage-backed securities |
—
|
LITERAL 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: mechanics of mortgage-backed securities | Statement: [Jared Vennett, explainsToAudience, mechanics of mortgage-backed securities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explainsToAudience Context triple: [Jared Vennett, explainsToAudience, mechanics of mortgage-backed securities]
-
A.
relatesToAudience
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
-
B.
audienceOrientation
Indicates how something is directed, tailored, or positioned with respect to a particular audience or group of recipients.
-
C.
engagesAudienceAs
Indicates that one entity actively captures, involves, or holds the attention of an audience in the manner or role specified by another entity.
-
D.
audienceDescribedAs
Indicates that an audience is characterized or labeled using a particular description or set of attributes.
-
E.
audienceImpact
Indicates how an action, message, or event affects, influences, or resonates with its intended 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6698892e88190b076bb0cdf159d8b |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:17 p.m.