Triple
T34680486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nechama |
E890607
|
entity |
| Predicate | nameDayOrOccasionAssociation |
P172809
|
FINISHED |
| Object | times of mourning and consolation |
—
|
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: times of mourning and consolation | Statement: [Nechama, nameDayOrOccasionAssociation, times of mourning and consolation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameDayOrOccasionAssociation Context triple: [Nechama, nameDayOrOccasionAssociation, times of mourning and consolation]
-
A.
nameDayAssociatedConcept
chosen
Indicates an association between a name day and a related concept, such as a theme, symbol, idea, or contextual meaning linked to that name day.
-
B.
marksOccasion
Indicates that an event, action, or item serves to commemorate, celebrate, or formally recognize a particular occasion or milestone.
-
C.
namingOccasion
Indicates an event or context in which an entity is given, assigned, or referred to by a particular name.
-
D.
giftOccasion
Indicates that a gift is given in connection with, or to celebrate, a particular occasion or event.
-
E.
displayOccasion
Indicates the event, context, or situation during which something is presented, shown, or made visible.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 1, 2026, 2:05 a.m.