Triple
T6897422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarred Sumner |
E159404
|
entity |
| Predicate | talksAbout |
P72385
|
FINISHED |
| Object | JavaScript performance |
—
|
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: JavaScript performance | Statement: [Jarred Sumner, talksAbout, JavaScript performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: talksAbout Context triple: [Jarred Sumner, talksAbout, JavaScript performance]
-
A.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
B.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
-
C.
saidAbout
chosen
Indicates that a statement or assertion has been made concerning or in reference to a particular entity or subject.
-
D.
canDiscuss
Indicates that one entity is able or permitted to engage in a discussion or conversation with another entity.
-
E.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
- F. None of above.
Provenance (3 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95c44a48190876d62749411bbb6 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:24 p.m.