Triple
T5029578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seong Gi-hun |
E113262
|
entity |
| Predicate | playerNumber |
P60614
|
FINISHED |
| Object | 456 |
—
|
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: 456 | Statement: [Seong Gi-hun, playerNumber, 456]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playerNumber Context triple: [Seong Gi-hun, playerNumber, 456]
-
A.
playersPerSideOnField
Indicates the number of players from each team that are simultaneously present on the field during play.
-
B.
usesNumberOfPlayersOnFieldPerTeam
Indicates that the relationship specifies or depends on how many players each team has on the field at a given time.
-
C.
numberOfPlayersLAN
Indicates the number of players that can participate together over a local area network (LAN) in the related context.
-
D.
sportNumberOfPlayersOnTeam
Indicates the number of players that make up a single team in a given sport.
-
E.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
- F. None of above. chosen
Provenance (4 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd739099a0819099c6201d4e1c5ee2 |
completed | March 20, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd724ff2b4819091351cf80d3647a1 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1:36 p.m.