Triple
T22731549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bedbug |
E562145
|
entity |
| Predicate | titleInRussian |
P23454
|
FINISHED |
| Object | "Клоп" |
—
|
NE NERFINISHED |
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: "Клоп" | Statement: [The Bedbug, titleInRussian, "Клоп"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Клоп" Context triple: [The Bedbug, titleInRussian, "Клоп"]
-
A.
El Bicho
El Bicho is the popular nickname of Argentine football club Argentinos Juniors, reflecting its gritty, hard-working identity in the country’s soccer culture.
-
B.
The Pest
chosen
The Pest is a 1997 slapstick comedy film starring John Leguizamo as a fast-talking con artist who becomes the target of a deadly manhunt.
-
C.
El Piojo
El Piojo is the nickname of Argentine former professional footballer Claudio López, a fast and prolific forward known for his time with Valencia, Lazio, and the Argentina national team.
-
D.
Щелкунчик
Щелкунчик — это знаменитый балет Петра Ильича Чайковского по сказке Гофмана, ставший одной из самых популярных рождественских музыкальных сказок в мире.
-
E.
La Coccinella
La Coccinella is an Italian publishing imprint known for its children’s books, particularly interactive and educational titles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792de040819093aa904bf751a788 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:21 p.m.