Triple
T38605723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald "Red" Daniels |
E934334
|
entity |
| Predicate | followsStoryThrough |
P200879
|
FINISHED |
| Object | European campaign |
—
|
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: European campaign | Statement: [Ronald "Red" Daniels, followsStoryThrough, European campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsStoryThrough Context triple: [Ronald "Red" Daniels, followsStoryThrough, European campaign]
-
A.
followsStoryOf
Indicates that one narrative, account, or storyline continues from, is based on, or is derived from the events or structure of another.
-
B.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
C.
followsStage
Indicates that one stage occurs after and in sequence with another stage in a process or workflow.
-
D.
followsDisc
Indicates that one entity comes after another in a sequence or order, typically in a discrete or stepwise progression.
-
E.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
- 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
| PDg | Predicate description generation | batch_69ffb5c2cef0819087a92a1a5ab694a8 |
completed | May 9, 2026, 10:31 p.m. |
Created at: May 3, 2026, 4:32 p.m.