Triple
T14552463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brushfire Fairytales |
E341451
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The News |
E434618
|
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: The News | Statement: [Brushfire Fairytales, hasPart, The News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The News Context triple: [Brushfire Fairytales, hasPart, The News]
-
A.
The News
chosen
The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
-
B.
5 News
5 News is the national news service for the UK television channel Channel 5, providing daily news coverage and current affairs programming.
-
C.
Newsy
Newsy was the nickname of Édouard "Newsy" Lalonde, a prominent early 20th-century Canadian ice hockey and lacrosse star known for his scoring prowess.
-
D.
Newsy
Newsy is a U.S.-based digital news network known for concise, video-focused coverage and analysis of current events.
-
E.
The National News
The National News was a former English-language newspaper in the United Arab Emirates that preceded and was later rebranded as The National.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab7d698819085fd81d7b6f96317 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.