Triple
T35156594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild at Heart |
E1015138
|
entity |
| Predicate | workLocationOfFictionalFamily |
P76778
|
FINISHED |
| Object | Wildlife game reserve |
—
|
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: Wildlife game reserve | Statement: [Wild at Heart, workLocationOfFictionalFamily, Wildlife game reserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workLocationOfFictionalFamily Context triple: [Wild at Heart, workLocationOfFictionalFamily, Wildlife game reserve]
-
A.
workLocationOfFictionalCharacter
chosen
Indicates the place or organization where a fictional character is depicted as working within their narrative context.
-
B.
settingOfFictionalResidence
Indicates that a location serves as the setting or backdrop for a fictional residence within a narrative work.
-
C.
frequentedByFictionalFamily
Indicates that a place or establishment is regularly visited or commonly associated with a particular fictional family.
-
D.
stateOfFictionalResidence
Indicates the state or region in which a fictional character’s residence is located.
-
E.
fictionalResidence
Indicates that one entity is the place where another entity lives or is based within a fictional or imaginary context.
- 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78cf278648190896f49cd4c077520 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.