Triple
T5590733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Debbie Reynolds Show |
E146869
|
entity |
| Predicate | leadCharacterResidence |
P7550
|
FINISHED |
| Object | suburban home |
—
|
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: suburban home | Statement: [The Debbie Reynolds Show, leadCharacterResidence, suburban home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterResidence Context triple: [The Debbie Reynolds Show, leadCharacterResidence, suburban home]
-
A.
fictionalResidence
chosen
Indicates that one entity is the place where another entity lives or is based within a fictional or imaginary context.
-
B.
favoriteResidenceOf
Indicates that a particular residence is the one most preferred or liked by a given person or entity among all residences associated with them.
-
C.
depictsResidence
Indicates that one entity visually represents or portrays the place where another entity lives or resides.
-
D.
residence
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
-
E.
houseLocatedIn
Indicates that a house is situated within or belongs to a specific geographic location or area.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020a1d4cc8190a52264dfba6aa011 |
completed | March 22, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.