Triple
T2240959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Frayn |
E49393
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | The Observer |
E201234
|
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 Observer | Statement: [Michael Frayn, employer, The Observer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Observer Context triple: [Michael Frayn, employer, The Observer]
-
A.
The Observer
chosen
The Observer is a long-running British Sunday newspaper known for its in-depth journalism and commentary on politics, culture, and current affairs.
-
B.
The New Observer
The New Observer was the original name of the British newspaper that later became known as The Sunday Times.
-
C.
The Guardian
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.
-
D.
El Espectador
El Espectador is one of Colombia’s oldest and most influential national newspapers, known for its investigative journalism and cultural reporting.
-
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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0be7fb4819081a5f9c46b616bdb |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0cb4f0819087061434d44dc3a3 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.