Triple
T26235286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Gageler |
E656148
|
entity |
| Predicate | precededByInPosition |
P163874
|
FINISHED |
| Object | Susan Kiefel |
—
|
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: Susan Kiefel | Statement: [Stephen Gageler, precededByInPosition, Susan Kiefel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByInPosition Context triple: [Stephen Gageler, precededByInPosition, Susan Kiefel]
-
A.
precededByInGroup
Indicates that one entity comes before another in the ordered sequence within the same group or collection.
-
B.
precededBySegment
Indicates that one segment occurs immediately before another segment in a sequence or ordering.
-
C.
precededBySpecial
Indicates that one event or entity occurs immediately before another in a context marked as special or exceptional compared to normal ordering.
-
D.
classPrecededBy
Indicates that one class occurs or is scheduled before another class in a sequence or timetable.
-
E.
precededByDocument
Indicates that one document occurs or is issued earlier in sequence or time than another document.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 26, 2026, 9:01 p.m.