Triple
T32398607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacJohnson |
E827880
|
entity |
| Predicate | hasDerivedFrom |
P909
|
FINISHED |
| Object | MacJohn |
—
|
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: MacJohn | Statement: [MacJohnson, hasDerivedFrom, MacJohn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDerivedFrom Context triple: [MacJohnson, hasDerivedFrom, MacJohn]
-
A.
derivedFrom
chosen
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
B.
derivedBy
Indicates that one entity is obtained, produced, or inferred from another through some transformation, process, or reasoning.
-
C.
inheritedFrom
Indicates that one entity has received or derived something (such as traits, rights, or property) from another entity, typically a predecessor or ancestor.
-
D.
developedFrom
Indicates that one entity originates, evolves, or is derived from another as its source or precursor.
-
E.
differentiatedFrom
Indicates that one entity is distinguished or set apart from another by identifying differences between them.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:52 a.m.