Triple
T33262526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Dunham: A Very Special Christmas Special |
E851552
|
entity |
| Predicate | hasHomeVideoBonusFeatures |
P170542
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Jeff Dunham: A Very Special Christmas Special, hasHomeVideoBonusFeatures, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeVideoBonusFeatures Context triple: [Jeff Dunham: A Very Special Christmas Special, hasHomeVideoBonusFeatures, true]
-
A.
hasHomeVideoTitle
Indicates that an entity is associated with a specific title used for its home video release.
-
B.
hasHomeMediaRelease
Indicates that a work has been released in a home media format (such as DVD, Blu-ray, or digital home release).
-
C.
hasBonusTrackStatus
Indicates whether an item (such as a track or release) is designated as a bonus track in relation to a primary work or edition.
-
D.
specialFeatures
Indicates the distinctive or additional characteristics, functionalities, or attributes that set an entity apart from standard or typical versions.
-
E.
homeMediaBonus
chosen
Indicates that an item includes additional or bonus content specifically for its home media release (e.g., DVD, Blu-ray, digital).
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 1, 2026, 1:32 a.m.