Triple
T19411564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tug of War (Squid Game) |
E485598
|
entity |
| Predicate | locationInSeries |
P31674
|
FINISHED |
| Object | indoor industrial-style arena |
—
|
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: indoor industrial-style arena | Statement: [Tug of War (Squid Game), locationInSeries, indoor industrial-style arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationInSeries Context triple: [Tug of War (Squid Game), locationInSeries, indoor industrial-style arena]
-
A.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
B.
placeInSeries
Indicates the position or order that something occupies within a sequence or series.
-
C.
seriesLocation
chosen
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
-
D.
hasPartOfSeriesPosition
Indicates that an entity occupies a specific position or order within a larger series or sequence.
-
E.
basedInSeries
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular series.
- 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.