Triple
T3088659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For the First Time in Forever: A Frozen Sing-Along Celebration |
E64433
|
entity |
| Predicate | hasComedyElements |
P45834
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [For the First Time in Forever: A Frozen Sing-Along Celebration, hasComedyElements, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComedyElements Context triple: [For the First Time in Forever: A Frozen Sing-Along Celebration, hasComedyElements, yes]
-
A.
hasHumorType
Indicates that an entity possesses or is characterized by a particular style, category, or type of humor.
-
B.
hasDramaticElements
Indicates that something contains features or qualities characteristic of drama, such as heightened emotion, tension, or conflict.
-
C.
hasScriptedGenre
Indicates that an entity (such as a show or production) belongs to or is associated with a particular scripted genre.
-
D.
hasHumorousTreatmentOf
Indicates that one entity presents or portrays another entity in a humorous, comedic, or joking manner.
-
E.
hasSitcom
Indicates that an entity is associated with or features in a sitcom (situational comedy) television show.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20b99a4819090c3d3e08ed556ad |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.