Triple
T5598698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Baldwin of Bewdley |
E147060
|
entity |
| Predicate | predecessorStatus |
P64971
|
FINISHED |
| Object | new creation |
—
|
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: new creation | Statement: [Earl Baldwin of Bewdley, predecessorStatus, new creation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorStatus Context triple: [Earl Baldwin of Bewdley, predecessorStatus, new creation]
-
A.
predecessorState
Indicates that one state directly precedes another in a sequence or process.
-
B.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
C.
predecessorControl
Indicates that one entity has control or authority over another entity that precedes it in a sequence, process, or hierarchy.
-
D.
predecessorProject
Indicates that one project temporally or logically comes before and leads into another project in a sequence or dependency chain.
-
E.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020d82870819087f9591b5a1021ce |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:38 p.m.