Triple
T5618711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Keoghan |
E147543
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Pavel in Chernobyl |
E331069
|
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: Pavel in Chernobyl | Statement: [Barry Keoghan, portrayed, Pavel in Chernobyl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pavel in Chernobyl Context triple: [Barry Keoghan, portrayed, Pavel in Chernobyl]
-
A.
Chernobyl
chosen
Chernobyl is a historical drama miniseries that chronicles the 1986 Soviet nuclear disaster and its aftermath.
-
B.
La Coupole
La Coupole is a historic and iconic Parisian brasserie in Montparnasse, famed for its Art Deco decor and its role as a meeting place for artists and intellectuals.
-
C.
Kolyma Tales
Kolyma Tales is a renowned collection of short stories by Varlam Shalamov that depicts the brutal realities of life and survival in the Soviet Gulag system.
-
D.
Gorky Park
Gorky Park is a famous central Moscow park known for its recreational facilities, cultural events, and scenic riverside location.
-
E.
Gorky Park
Gorky Park is a 1983 crime thriller film, based on Martin Cruz Smith’s novel, about a Soviet detective investigating a triple murder in Moscow.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021dd5d0081909d18d16596fac507 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d55b95c8190a5f3e2c05249c136 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.