Triple
T1491302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boing Boing |
E29584
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Boing Boing Gadgets |
E29584
|
NE 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: Boing Boing Gadgets | Statement: [Boing Boing, hasSection, Boing Boing Gadgets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boing Boing Gadgets Context triple: [Boing Boing, hasSection, Boing Boing Gadgets]
-
A.
Boing Boing
chosen
Boing Boing is a long-running, influential blog and online magazine that covers technology, culture, science fiction, and digital rights with a quirky, countercultural tone.
-
B.
Engadget
Engadget is a technology news and reviews website that covers consumer electronics, gadgets, and digital culture.
-
C.
The Gadget
"The Gadget" was the codename for the first nuclear explosive device ever detonated, tested by the United States at the Trinity site in New Mexico in 1945.
-
D.
BuzzMachine
BuzzMachine is the media and journalism-focused blog written by professor and author Jeff Jarvis, known for commentary on the future of news and digital media.
-
E.
Technium
Technium is an exhibition floor at Amsterdam's NEMO Science Museum that showcases interactive science and technology displays for visitors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c3ace4819081bc2b86ee2486b6 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1ca98e64819097916eb7717e6364 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8:12 p.m.