Triple
T6102920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Zaroff |
E136045
|
entity |
| Predicate | settingOfHunts |
P1957
|
FINISHED |
| Object | jungle on his island |
—
|
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: jungle on his island | Statement: [Count Zaroff, settingOfHunts, jungle on his island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfHunts Context triple: [Count Zaroff, settingOfHunts, jungle on his island]
-
A.
huntingStyle
Indicates the characteristic manner or method an entity typically uses when hunting.
-
B.
huntingTime
Indicates the time period during which a hunting activity takes place or is scheduled.
-
C.
huntingPolicy
Indicates a regulatory or strategic stance governing how hunting activities are allowed, restricted, or managed in relation to certain entities.
-
D.
hunting
Indicates one entity actively pursuing and attempting to capture or kill another entity, typically as prey.
-
E.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 |
completed | March 22, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.