Triple
T30083732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingsfold |
E764542
|
entity |
| Predicate | isOftenPairedWithText |
P69696
|
FINISHED |
| Object | I Heard the Voice of Jesus Say |
—
|
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: I Heard the Voice of Jesus Say | Statement: [Kingsfold, isOftenPairedWithText, I Heard the Voice of Jesus Say]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenPairedWithText Context triple: [Kingsfold, isOftenPairedWithText, I Heard the Voice of Jesus Say]
-
A.
associatedWithText
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
-
B.
isPairOf
Indicates that two entities are associated as a matched or corresponding pair within a defined context.
-
C.
commonPair
chosen
Indicates that two entities commonly occur together or are frequently associated as a pair in some shared context.
-
D.
pairedWithMeaning
Indicates that one entity is associated with, or linked to, a particular meaning or interpretation of another entity.
-
E.
isOftenPresentedBy
Indicates that one entity is frequently the agent, host, or medium through which another entity is shown, delivered, or made available.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d6a9ae08190ba91cbe92980e3f0 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:03 p.m.