Triple
T15977267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyutsifer Safin |
E387479
|
entity |
| Predicate | settingOfConfrontation |
P56733
|
FINISHED |
| Object | island base control room |
—
|
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: island base control room | Statement: [Lyutsifer Safin, settingOfConfrontation, island base control room]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfConfrontation Context triple: [Lyutsifer Safin, settingOfConfrontation, island base control room]
-
A.
settingOfConflict
chosen
Indicates the location or context in which a conflict between entities takes place.
-
B.
helpsCharacterConfront
Indicates that one character actively supports or enables another character in facing and dealing with a difficult issue, fear, or challenge.
-
C.
confronts
Indicates that one entity directly faces and challenges another, often in opposition or dispute.
-
D.
settingConflict
Indicates a conflict or incompatibility between two settings, configurations, or environmental conditions.
-
E.
settingEncounter
Indicates that an encounter or interaction is taking place within a particular setting or environment.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.