Triple
T27103293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete as Ghost of Christmas Yet to Come |
E686497
|
entity |
| Predicate | showsTo |
P146827
|
FINISHED |
| Object | Ebenezer Scrooge |
—
|
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: Ebenezer Scrooge | Statement: [Pete as Ghost of Christmas Yet to Come, showsTo, Ebenezer Scrooge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsTo Context triple: [Pete as Ghost of Christmas Yet to Come, showsTo, Ebenezer Scrooge]
-
A.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
B.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
C.
ultimatelyShows
Indicates that something eventually reveals, demonstrates, or makes clear another thing as a final outcome or conclusion.
-
D.
showsFavorTo
Indicates that one entity demonstrates preference, kindness, or advantageous treatment toward another entity.
-
E.
demonstratesTo
chosen
Indicates that one entity actively shows, explains, or proves something to another entity.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f625411c14819086492062e86ba8d5 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 8:49 a.m.