Triple
T1992272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen |
E43276
|
entity |
| Predicate | lastWords |
P35241
|
FINISHED |
| Object | “Lord Jesus, receive my spirit” |
—
|
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: “Lord Jesus, receive my spirit” | Statement: [Stephen, lastWords, “Lord Jesus, receive my spirit”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastWords Context triple: [Stephen, lastWords, “Lord Jesus, receive my spirit”]
-
A.
lastRemnantOf
Indicates that one entity is the sole remaining instance or surviving part of another entity, after all similar or related instances have disappeared.
-
B.
wasLast
Indicates that one entity occurred or appeared after all others in a sequence, making it the final item or event.
-
C.
lastWork
Indicates that one entity is the most recent work (e.g., creation, project, or publication) associated with another entity.
-
D.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
E.
lastFlight
Indicates that one flight is the final or most recent flight taken or operated by a given entity within a specified context or sequence.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb8ec608c81908917e945e0118ac4 |
completed | March 7, 2026, 5:34 a.m. |
Created at: March 4, 2026, 7:37 p.m.