Triple
T5024373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah |
E112936
|
entity |
| Predicate | dedicates |
P1283
|
FINISHED |
| Object | Samuel to the LORD |
—
|
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: Samuel to the LORD | Statement: [Hannah, dedicates, Samuel to the LORD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicates Context triple: [Hannah, dedicates, Samuel to the LORD]
-
A.
dedicated
chosen
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
B.
dedicatee
Indicates the person or entity to whom a work, such as a book, artwork, or performance, is formally dedicated.
-
C.
dedicationType
Indicates the specific kind or category of dedication that characterizes the relationship or action between entities.
-
D.
oftenDedicatedTo
Indicates that something is frequently or habitually devoted, assigned, or committed to a particular purpose, activity, or recipient.
-
E.
rededicatedBy
Indicates that something has been dedicated again or anew by a particular agent or entity.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736852e88190b69d6561ca7604c3 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd71509e9c8190a60c1d8d04936a12 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.