Triple
T18341807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter McCallister |
E439422
|
entity |
| Predicate | onScreenMedium |
P50196
|
FINISHED |
| Object | live-action film |
—
|
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 film | Statement: [Peter McCallister, onScreenMedium, live-action film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onScreenMedium Context triple: [Peter McCallister, onScreenMedium, live-action film]
-
A.
mediumDisplayed
Indicates that a particular medium (such as an image, video, or document) is being shown or rendered in a given context or interface.
-
B.
monitorsMedium
Indicates that one entity observes, tracks, or supervises the state or activity of a particular medium (such as a channel, platform, or communication medium).
-
C.
representsMedium
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, communicated, or realized.
-
D.
mediumDepictedIn
Indicates that a particular medium or material is represented, shown, or referenced within another work or depiction.
-
E.
mediumAppearance
chosen
Indicates that an entity appears in or is featured within a particular medium (such as a work, format, or communication channel).
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f0b5a881908056d48bc48124b8 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.