Triple
T29373186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mila Davis-Kent |
E744910
|
entity |
| Predicate | portraysDaughterOfFictionalCharacter |
P33556
|
FINISHED |
| Object | Adonis Creed |
—
|
NE NERFINISHED |
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: Adonis Creed | Statement: [Mila Davis-Kent, portraysDaughterOfFictionalCharacter, Adonis Creed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysDaughterOfFictionalCharacter Context triple: [Mila Davis-Kent, portraysDaughterOfFictionalCharacter, Adonis Creed]
-
A.
fictionalDaughter
Indicates that one entity is the daughter of another within a fictional or narrative context.
-
B.
portraysFictionalEntity
chosen
Indicates that one entity depicts, represents, or plays the role of a fictional character or figure.
-
C.
daughterOf
Indicates that one person is the female child (daughter) of another person.
-
D.
childOfCharacter
Indicates that one character is the offspring (biological, adopted, or otherwise recognized child) of another character.
-
E.
attendedByFictionalCharacter
Indicates that a fictional character is present at, participates in, or is an attendee of a particular event or gathering.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 28, 2026, 2:29 p.m.