Triple
T16205066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How the Grinch Stole Christmas! The Musical |
E393303
|
entity |
| Predicate | featuresNarration |
P46114
|
FINISHED |
| Object | storybook‑style narration |
—
|
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: storybook‑style narration | Statement: [How the Grinch Stole Christmas! The Musical, featuresNarration, storybook‑style narration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresNarration Context triple: [How the Grinch Stole Christmas! The Musical, featuresNarration, storybook‑style narration]
-
A.
hasNarration
chosen
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
-
B.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
-
C.
sectionNarrator
Indicates that a given entity serves as the narrator or narrative voice for a particular section of a work.
-
D.
narrationRequired
Indicates that an accompanying explanatory or descriptive narrative is required to properly present or understand the related content or event.
-
E.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270d6e5c8190aee4bcca76cbe47c |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.