Triple
T16481725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Snowmen |
E400333
|
entity |
| Predicate | isChristmasSpecialNumber |
P94197
|
FINISHED |
| Object | 8 (revived series) |
—
|
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: 8 (revived series) | Statement: [The Snowmen, isChristmasSpecialNumber, 8 (revived series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isChristmasSpecialNumber Context triple: [The Snowmen, isChristmasSpecialNumber, 8 (revived series)]
-
A.
isChristmasSong
Indicates that a song is recognized as a Christmas-themed song, typically associated with the Christmas holiday season.
-
B.
includesSpecialDay
Indicates that a time period, schedule, or collection contains or encompasses at least one designated special day or occasion.
-
C.
hasSpecialYear
Indicates that an entity is associated with a particular year that is distinguished or treated as exceptional in some defined context.
-
D.
hasNumberOfSpecials
chosen
Indicates that an entity is associated with a specific count of special items, features, or occurrences.
-
E.
specialDaysCount
Indicates the number of special or designated days associated with an entity or time period.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e02b2c881909576a23bfbd3123c |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.