Triple
T4474479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendan Eich |
E98571
|
entity |
| Predicate | hasGivenNotableTalk |
P36114
|
FINISHED |
| Object | keynotes at JavaScript and web development conferences |
—
|
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: keynotes at JavaScript and web development conferences | Statement: [Brendan Eich, hasGivenNotableTalk, keynotes at JavaScript and web development conferences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenNotableTalk Context triple: [Brendan Eich, hasGivenNotableTalk, keynotes at JavaScript and web development conferences]
-
A.
notableSpeechAssociated
Indicates that a notable or significant speech is associated with a particular entity, such as a person, event, or location.
-
B.
notableWorkPresented
Indicates that a particular notable work was presented, exhibited, or showcased by an entity (such as a person or organization).
-
C.
notableSpeechBy
chosen
Indicates that a particular speech or address is notably given or delivered by a specific entity.
-
D.
notableLecturer
Indicates that a person is recognized as a distinguished or prominent lecturer, often due to their expertise, impact, or reputation in giving lectures.
-
E.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.