Triple
T8458018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gift: A Christmas and New Year’s Present for 1843 |
E199968
|
entity |
| Predicate | targetOccasion |
P82755
|
FINISHED |
| Object | Christmas |
—
|
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 | Statement: [The Gift: A Christmas and New Year’s Present for 1843, targetOccasion, Christmas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOccasion Context triple: [The Gift: A Christmas and New Year’s Present for 1843, targetOccasion, Christmas]
-
A.
entryOccasion
Indicates the circumstance, event, or reason that prompts or justifies an entity’s entry or initiation.
-
B.
suitableOccasion
Indicates that a particular occasion or context is appropriate or fitting for a given entity, action, or event.
-
C.
displayOccasion
Indicates the event, context, or situation during which something is presented, shown, or made visible.
-
D.
giftOccasion
Indicates that a gift is given in connection with, or to celebrate, a particular occasion or event.
-
E.
servingOccasion
Indicates the occasion, event, or context during which something (typically food or drink) is served.
- F. None of above. chosen
Provenance (4 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49064f881909391d565b97e9886 |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:10 p.m.