Triple
T14162820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Courier |
E350990
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Oleg Penkovsky |
E230221
|
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: Oleg Penkovsky | Statement: [The Courier, portrays, Oleg Penkovsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oleg Penkovsky Context triple: [The Courier, portrays, Oleg Penkovsky]
-
A.
Dmitry Golitsyn
Dmitry Golitsyn was a prominent Russian general and statesman of the early 18th century, noted for his military leadership during the Great Northern War and his influential role in imperial politics.
-
B.
Andrei Golitsyn
Andrei Golitsyn was a Russian nobleman and statesman from the influential Golitsyn family who played a role in early 17th-century Muscovite politics.
-
C.
Sergei Mitrokhin
Sergei Mitrokhin is a Russian liberal politician and activist known for his leadership role in the Yabloko party and his opposition to Kremlin policies.
-
D.
Kim Philby
chosen
Kim Philby was a high-ranking British intelligence officer who became one of the most infamous Soviet double agents of the 20th century.
-
E.
Georgy Golitsyn
Georgy Golitsyn is a Russian atmospheric physicist known for his influential work on climate modeling and the atmospheric effects of volcanic eruptions and nuclear war.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de613a4a2081908fd51bf4b4d82b6c |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193b72f48190b80ac30d32ab8349 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 12:59 a.m.