Triple
T19411365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squid Game guards |
E485594
|
entity |
| Predicate | hasSymbolOnMask |
P133459
|
FINISHED |
| Object | circle |
—
|
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: circle | Statement: [Squid Game guards, hasSymbolOnMask, circle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSymbolOnMask Context triple: [Squid Game guards, hasSymbolOnMask, circle]
-
A.
hasSymbolFor
chosen
Indicates that one entity serves as the symbolic representation or sign for another entity.
-
B.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
C.
usesMaskIn
Indicates that an entity wears or employs a mask while present in or interacting within a specified context or location.
-
D.
hasMainSymbol
Indicates that one entity is designated as the primary or most representative symbol associated with another entity.
-
E.
usesMasking
Indicates that one entity applies or employs a masking technique or mechanism in relation to another entity or process.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af681288190ba2ec52d5adb6a22 |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.