Triple
T26317985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Battelle |
E662023
|
entity |
| Predicate | programChairOf |
P116660
|
FINISHED |
| Object | technology and media 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 and media conferences | Statement: [John Battelle, programChairOf, technology and media conferences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programChairOf Context triple: [John Battelle, programChairOf, technology and media conferences]
-
A.
chairperson
Indicates that one entity serves as the leader or head of a group, committee, or organization in relation to another entity.
-
B.
coChairpersonOf
Indicates that a person serves jointly with one or more others as the chairperson of a group, organization, or committee.
-
C.
hasCoChairFrom
Indicates that an entity has a co-chair whose affiliation or origin is from a specified source, organization, or group.
-
D.
associatedChair
chosen
Indicates that one entity serves as the designated chair (or chairperson) associated with another entity, such as a committee, department, or meeting.
-
E.
hasCoChair
Indicates that an entity shares the role of chair (leadership or oversight position) jointly with another entity.
- 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_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 26, 2026, 10:26 p.m.