Triple
T20333345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterless Flood |
E492538
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Snowman |
—
|
NE NERFINISHED |
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: Snowman | Statement: [Waterless Flood, associatedWithCharacter, Snowman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowman Context triple: [Waterless Flood, associatedWithCharacter, Snowman]
-
A.
Snowman
chosen
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.
-
B.
Snowman Lane
Snowman Lane is a whimsically named residential street in North Pole, Alaska, reflecting the town’s Christmas-themed character.
-
C.
Snow Miser
Snow Miser is a comically villainous, cold-loving winter spirit from the Rankin/Bass Christmas specials, best known for controlling snow and ice and singing about his frosty powers.
-
D.
Snow Wonder
Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
-
E.
Schneekoppe
Schneekoppe is the highest peak in the Krkonoše (Giant) Mountains and the Czech Republic, located on the border between the Czech Republic and Poland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e94e2481908898e0a3513e1209 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.