Triple
T230438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Cailliau |
E4398
|
entity |
| Predicate | helpedOrganize |
P5709
|
FINISHED |
| Object | first World Wide Web conference |
—
|
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: first World Wide Web conference | Statement: [Robert Cailliau, helpedOrganize, first World Wide Web conference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedOrganize Context triple: [Robert Cailliau, helpedOrganize, first World Wide Web conference]
-
A.
organizes
Indicates that one entity arranges, coordinates, or structures activities, items, or people into an ordered or planned form for a particular purpose.
-
B.
organizedAs
Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
-
C.
organizesInto
chosen
Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
-
D.
reorganized
Indicates that an entity has changed the structure, order, or arrangement of another entity or set of entities from a previous configuration.
-
E.
oversawEvent
Indicates that an entity had supervisory or managerial responsibility for the planning, execution, or overall conduct of an event.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e0868708190ad551ca06cc57f4a |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b5a075081909b0e9b88c1492d5a |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.