Triple
T3090243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lohri |
E64462
|
entity |
| Predicate | oftenDedicatedTo |
P45853
|
FINISHED |
| Object | newlyweds |
—
|
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: newlyweds | Statement: [Lohri, oftenDedicatedTo, newlyweds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenDedicatedTo Context triple: [Lohri, oftenDedicatedTo, newlyweds]
-
A.
dedicated
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
B.
primaryDedication
Indicates the main person, concept, or entity to which something (such as a work, structure, or event) is formally dedicated above all others.
-
C.
dedicationType
Indicates the specific kind or category of dedication that characterizes the relationship or action between entities.
-
D.
rededicatedBy
Indicates that something has been dedicated again or anew by a particular agent or entity.
-
E.
oftenHeldToBe
Indicates that something is frequently regarded, considered, or believed to be a certain way by many people or in many contexts.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20d8f788190b05b8b6b5042bc1a |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.