Triple
T20996000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miracle on 34th Street (novelization by Valentine Davies) |
E517149
|
entity |
| Predicate | intendedReadingSeason |
P113036
|
FINISHED |
| Object | Christmas season |
—
|
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: Christmas season | Statement: [Miracle on 34th Street (novelization by Valentine Davies), intendedReadingSeason, Christmas season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedReadingSeason Context triple: [Miracle on 34th Street (novelization by Valentine Davies), intendedReadingSeason, Christmas season]
-
A.
intendedToBeReadAt
chosen
Indicates that something (such as a text, message, or content) is created or provided with the purpose of being read at a particular time, place, or context.
-
B.
basedOnSeason
Indicates that something is determined, influenced, or derived according to a particular season or time of year.
-
C.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
D.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
-
E.
hasSeasonalText
Indicates that an entity is associated with text that is specific to or varies by a particular season or time of year.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1fd5d48190a56981cee95ebd69 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:50 p.m.