Triple
T6911477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frosty Day Parade |
E159942
|
entity |
| Predicate | hasTheme |
P261
|
FINISHED |
| Object |
Frosty the Snowman
Frosty the Snowman is a popular Christmas character and song figure, depicted as a magically animated snowman who comes to life and has joyful winter adventures.
|
E627751
|
NE FINISHED |
How this triple was built (4 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: Frosty the Snowman | Statement: [Frosty Day Parade, hasTheme, Frosty the Snowman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frosty the Snowman Context triple: [Frosty Day Parade, hasTheme, Frosty the Snowman]
-
A.
Rudolph
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
B.
Rudolph
Rudolph is a surname of German origin borne by various notable individuals and families.
-
C.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
-
D.
Snowman
Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
-
E.
The Grinch
The Grinch is a famously grouchy, green, Christmas-hating character from Dr. Seuss’s classic children’s story “How the Grinch Stole Christmas!”
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frosty the Snowman Triple: [Frosty Day Parade, hasTheme, Frosty the Snowman]
Generated description
Frosty the Snowman is a popular Christmas character and song figure, depicted as a magically animated snowman who comes to life and has joyful winter adventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frosty the Snowman Target entity description: Frosty the Snowman is a popular Christmas character and song figure, depicted as a magically animated snowman who comes to life and has joyful winter adventures.
-
A.
Rudolph
Rudolph is the legendary red-nosed reindeer from Christmas folklore who guides Santa Claus’s sleigh through the night.
-
B.
Rudolph
Rudolph is a surname of German origin borne by various notable individuals and families.
-
C.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
-
D.
Snowman
Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
-
E.
The Grinch
The Grinch is a famously grouchy, green, Christmas-hating character from Dr. Seuss’s classic children’s story “How the Grinch Stole Christmas!”
- F. None of above. chosen
Provenance (5 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9c135b48190b332aedf1d52bdb7 |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7490c95548190a493d3fd23d1d7a5 |
completed | March 28, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c749d4b088819095f991f976592d04 |
completed | March 28, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74aab12988190bd23cfcc06c55cde |
completed | March 28, 2026, 3:27 a.m. |
Created at: March 27, 2026, 2:25 p.m.