Triple
T23722686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah, mother of the prophet Samuel |
E586185
|
entity |
| Predicate | comfortedBy |
P12480
|
FINISHED |
| Object | Elkanah |
—
|
NE NERFINISHED |
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: Elkanah | Statement: [Hannah, mother of the prophet Samuel, comfortedBy, Elkanah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comfortedBy Context triple: [Hannah, mother of the prophet Samuel, comfortedBy, Elkanah]
-
A.
relievedBy
chosen
Indicates that one entity eases, reduces, or removes the burden, pain, stress, or responsibility experienced by another entity.
-
B.
comfortFocus
Indicates that one entity directs its attention or efforts toward providing comfort or emotional ease to another entity.
-
C.
relativeComfort
Indicates a comparative relationship where one entity is judged to be more or less comfortable than another under given conditions.
-
D.
relief
Indicates a state or action in which distress, pain, or difficulty is reduced, eased, or removed for an entity.
-
E.
hasRelief
Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b912a7548190afcfa03dd9adc47e |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:04 p.m.