Triple
T27558610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trey MacDougal |
E695710
|
entity |
| Predicate | relationshipTypeWithCharlotteYork |
P119736
|
FINISHED |
| Object | love interest |
—
|
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: love interest | Statement: [Trey MacDougal, relationshipTypeWithCharlotteYork, love interest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithCharlotteYork Context triple: [Trey MacDougal, relationshipTypeWithCharlotteYork, love interest]
-
A.
relationshipNatureWithCharlotte
chosen
Indicates the specific type or character of the relationship that an entity has with Charlotte.
-
B.
relationshipToCharlotteCharles
Indicates the specific type of relationship or connection an entity has to Charlotte Charles.
-
C.
familyRelationToCharltons
Indicates the type of familial relationship an entity has to the Charltons.
-
D.
relationshipTypeWithShelbyCarpenter
Indicates the specific nature or category of relationship that an entity has with Shelby Carpenter.
-
E.
relationshipTypeWithLuciousLyon
Indicates the specific nature or category of relationship that an entity has with Lucious Lyon.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
Created at: April 27, 2026, 1:38 p.m.