Triple
T18724815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Clark |
E457871
|
entity |
| Predicate | hasOnlinePresence |
P57
|
FINISHED |
| Object | Substack |
—
|
NE NERFINISHED |
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: Substack | Statement: [Jack Clark, hasOnlinePresence, Substack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Substack Context triple: [Jack Clark, hasOnlinePresence, Substack]
-
A.
Substack
chosen
Substack is an online publishing platform that enables writers and journalists to create paid or free subscription newsletters directly for their audiences.
-
B.
Ezine
Ezine is a town and district in Turkey’s Çanakkale Province, known for its traditional white cheese and proximity to the ancient city of Troy.
-
C.
Feedly
Feedly is a popular web-based RSS and news aggregator that gained prominence as a primary alternative after the shutdown of Google Reader.
-
D.
Bulletin (newsletter)
Bulletin is the National Secular Society’s regular newsletter, providing updates, commentary, and analysis on secularism, religion, and related public policy issues in the UK.
-
E.
Instapaper
Instapaper is a read-it-later service and app that lets users save web articles for offline reading in a clean, distraction-free format.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d72d2c4819080b0d31860976b5e |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.