Triple
T15047906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie Baxter |
E379277
|
entity |
| Predicate | hasSiblingSeriesAppearance |
P116532
|
FINISHED |
| Object | Banana episode featuring Freddie’s perspective |
—
|
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: Banana episode featuring Freddie’s perspective | Statement: [Freddie Baxter, hasSiblingSeriesAppearance, Banana episode featuring Freddie’s perspective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiblingSeriesAppearance Context triple: [Freddie Baxter, hasSiblingSeriesAppearance, Banana episode featuring Freddie’s perspective]
-
A.
hasWorkInSameSeries
Indicates that two works belong to and are part of the same series.
-
B.
hasSequelAppearance
Indicates that an entity appears again in a subsequent installment or sequel of a work.
-
C.
hasSiblingInStory
Indicates that one character in a narrative has at least one sibling who also appears within the same story.
-
D.
airedWithSeriesFrom
Indicates that one series was broadcast together or in conjunction with another series during its airing period.
-
E.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 3 a.m.