Triple
T11377248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armyan Bernstein |
E269501
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Guardian |
E39599
|
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 Guardian | Statement: [Armyan Bernstein, notableWork, The Guardian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Guardian Context triple: [Armyan Bernstein, notableWork, The Guardian]
-
A.
The Guardian
chosen
The Guardian is a British daily newspaper known for its progressive editorial stance and in-depth coverage of national and international news, culture, and opinion.
-
B.
The Herald
The Herald was an earlier newspaper title that eventually evolved into or was replaced by the Daily Herald.
-
C.
The Observer
The Observer was an earlier newspaper that eventually evolved into or was succeeded by The News & Observer.
-
D.
The Observer
The Observer is a long-running British Sunday newspaper known for its in-depth journalism and commentary on politics, culture, and current affairs.
-
E.
Scoop
Scoop is a satirical novel by Evelyn Waugh that lampoons sensationalist journalism and foreign correspondence.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8e6d44819095f949581421e98e |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55697b2388190929d7e0b15d809ba |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:33 p.m.