Triple
T4977534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marbles (Squid Game) |
E111803
|
entity |
| Predicate | originalTitleMeaning |
P4542
|
FINISHED |
| Object | Kkanbu (close childhood friend or partner) |
—
|
LITERAL 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: Kkanbu (close childhood friend or partner) | Statement: [Marbles (Squid Game), originalTitleMeaning, Kkanbu (close childhood friend or partner)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTitleMeaning Context triple: [Marbles (Squid Game), originalTitleMeaning, Kkanbu (close childhood friend or partner)]
-
A.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
B.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
C.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
D.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
-
E.
titleMeaning
chosen
Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
- F. None of above.
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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:33 p.m.