Triple
T3174786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Arrington |
E66435
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | CrunchNotes blog |
E10979
|
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: CrunchNotes blog | Statement: [Michael Arrington, notableWork, CrunchNotes blog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CrunchNotes blog Context triple: [Michael Arrington, notableWork, CrunchNotes blog]
-
A.
TechCrunch
chosen
TechCrunch is a leading technology news website and media platform known for its coverage of startups, Silicon Valley, and the tech industry.
-
B.
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.
-
C.
NOTC Venture
NOTC Venture is a Canadian naval officer training centre that prepares and develops future leaders for service in the Royal Canadian Navy.
-
D.
What’s new
"What’s new" is Terence Tao’s influential mathematics blog, where he shares expository articles, research insights, and commentary on a wide range of mathematical topics.
-
E.
What’s New
"What’s New" is a 1983 album by Linda Ronstadt that marked her acclaimed foray into traditional pop standards and the Great American Songbook.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada670c800819098937783e2b05c7a |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235f16e60819091cbdb76130ecc40 |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.