Triple
T24086147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Cirne |
E596648
|
entity |
| Predicate | hasGivenTalksAt |
P10206
|
FINISHED |
| Object | technology 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: technology conferences | Statement: [Lew Cirne, hasGivenTalksAt, technology conferences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenTalksAt Context triple: [Lew Cirne, hasGivenTalksAt, technology conferences]
-
A.
gaveLecturesAt
Indicates that a person delivered lectures or taught courses at a particular institution or location.
-
B.
spokeAt
chosen
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
C.
lecturesHeldIn
Indicates that a lecture event takes place or is conducted within a specific location or venue.
-
D.
conferenceAtTheTime
Indicates that an event or situation occurs during the time period in which a specified conference is taking place.
-
E.
succeededAsSpeakerBy
Indicates that one entity took over the role or position of speaker from another entity as their successor.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2a76c881908ee6e599dc6d155e |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:44 p.m.