Triple
T27103294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete as Ghost of Christmas Yet to Come |
E686497
|
entity |
| Predicate | showsScene |
P162840
|
FINISHED |
| Object | Scrooge's grave |
—
|
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: Scrooge's grave | Statement: [Pete as Ghost of Christmas Yet to Come, showsScene, Scrooge's grave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsScene Context triple: [Pete as Ghost of Christmas Yet to Come, showsScene, Scrooge's grave]
-
A.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
B.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
C.
sceneStatus
Indicates the current state or condition of a scene within a given context or process.
-
D.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
-
E.
featuresSceneFrom
Indicates that one entity (such as a work or media item) includes or presents a particular scene taken from another entity.
- F. None of above. chosen
Provenance (4 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62e4168a48190b45268f922780da6 |
completed | May 2, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d5268ac8190835dc7119353b840 |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 27, 2026, 8:49 a.m.