Triple
T26318027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Pahlka |
E662024
|
entity |
| Predicate | hasSpeakingEngagement |
P10206
|
FINISHED |
| Object | technology and government conferences in the United States |
—
|
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: technology and government conferences in the United States | Statement: [Jennifer Pahlka, hasSpeakingEngagement, technology and government conferences in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeakingEngagement Context triple: [Jennifer Pahlka, hasSpeakingEngagement, technology and government conferences in the United States]
-
A.
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.
-
B.
hasSpeakersAmong
Indicates that a group, event, or entity includes one or more speakers drawn from a specified set or category.
-
C.
spokeAt
chosen
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
D.
hasNotableSpeaker
Indicates that an event, gathering, or occasion features a speaker who is distinguished or noteworthy in some significant way.
-
E.
hasPublicAppearancesWith
Indicates that two entities have appeared together in public settings or events.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 26, 2026, 10:26 p.m.