Triple
T11984328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Witch (Big Fish) |
E285238
|
entity |
| Predicate | settingOfEncounter |
P1957
|
FINISHED |
| Object | rural Alabama |
—
|
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: rural Alabama | Statement: [The Witch (Big Fish), settingOfEncounter, rural Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfEncounter Context triple: [The Witch (Big Fish), settingOfEncounter, rural Alabama]
-
A.
settingEncounter
Indicates that an encounter or interaction is taking place within a particular setting or environment.
-
B.
encounterLocation
Indicates the place or setting where two or more entities meet, interact, or come into contact.
-
C.
settingOfIllness
Indicates the context, environment, or circumstances in which an illness occurs or manifests.
-
D.
settingOfInvestigation
Indicates the context, environment, or circumstances in which an investigation takes place.
-
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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.