Triple
T4977421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Light, Green Light (Squid Game) |
E111801
|
entity |
| Predicate | sequenceInCompetition |
P27341
|
FINISHED |
| Object | first game |
—
|
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: first game | Statement: [Red Light, Green Light (Squid Game), sequenceInCompetition, first game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequenceInCompetition Context triple: [Red Light, Green Light (Squid Game), sequenceInCompetition, first game]
-
A.
sequenceInGames
chosen
Indicates that one game or event occurs as part of an ordered sequence within a series of games.
-
B.
sequenceInWork
Indicates that one work appears as a sequential part or installment within a larger overarching work.
-
C.
followsCompetition
Indicates that one entity participates in or occurs in a competition that takes place after or as a consequence of another specified competition.
-
D.
positionOnCompetition
Indicates the ranking or place an entity holds within the results of a specific competition.
-
E.
successorCompetition
Indicates that one competition directly follows another in sequence, serving as its successor in a series or timeline.
- 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.