Triple
T25810773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abby Donovan |
E650099
|
entity |
| Predicate | hasScreenMedium |
P99660
|
FINISHED |
| Object | live-action |
—
|
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: live-action | Statement: [Abby Donovan, hasScreenMedium, live-action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreenMedium Context triple: [Abby Donovan, hasScreenMedium, live-action]
-
A.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
B.
hasPageMedium
Indicates that a page or document is associated with a particular physical or digital medium through which it is presented or stored.
-
C.
hasMediumCharacter
Indicates that one entity possesses or is associated with a character whose size, intensity, or degree is classified as medium.
-
D.
hasScreenType
chosen
Indicates the specific kind or category of screen associated with or used by an entity.
-
E.
hasTopScreenSize
Indicates that an entity (typically a device) possesses a top screen with a specified size or dimension.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 22, 2026, 7:09 a.m.