Triple
T37380815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Property Brothers: Buying and Selling |
E928426
|
entity |
| Predicate | starsCharacterRole |
P23263
|
FINISHED |
| Object | Drew Scott as real estate expert |
—
|
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: Drew Scott as real estate expert | Statement: [Property Brothers: Buying and Selling, starsCharacterRole, Drew Scott as real estate expert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsCharacterRole Context triple: [Property Brothers: Buying and Selling, starsCharacterRole, Drew Scott as real estate expert]
-
A.
featuresCharacterRole
chosen
Indicates that a work includes a character appearing in a specific narrative or functional role.
-
B.
filmCharacterDescribedAs
Indicates that a film character is described or characterized using a particular attribute, phrase, or depiction.
-
C.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
-
D.
cultRole
Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
-
E.
creditedRoleOf
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.