Triple
T9705445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marco Arment |
E234886
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marco Arment |
E234886
|
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: Marco Arment | Statement: [Marco Arment, name, Marco Arment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marco Arment Context triple: [Marco Arment, name, Marco Arment]
-
A.
Marco Arment
chosen
Marco Arment is an American developer, writer, and podcaster best known as the creator of Instapaper and Overcast and as a co-founder of Tumblr.
-
B.
John Gruber
John Gruber is an American writer, blogger, and technology commentator best known for creating the Markdown markup language and publishing the long-running Apple-focused blog Daring Fireball.
-
C.
Phil Schiller
Phil Schiller is a longtime Apple executive who has played a key role in the company’s product marketing and major keynote presentations.
-
D.
Joshua Topolsky
Joshua Topolsky is an American technology journalist and media entrepreneur best known as a co-founder and former editor-in-chief of The Verge and a prominent figure in online tech media.
-
E.
Brad Bodnick
Brad Bodnick is a minor but memorable supporting character in the film "The Wolf of Wall Street," depicted as one of Jordan Belfort’s hard-partying, drug-dealing associates.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da369b4819081f6ce01289ed725 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19136b40c8190922052dd84d49f15 |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:19 p.m.