Triple
T23722217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahama Passage |
E586175
|
entity |
| Predicate | reflectsCareerPhase |
P131944
|
FINISHED |
| Object | early career of John W. Campbell Jr. |
—
|
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: early career of John W. Campbell Jr. | Statement: [Bahama Passage, reflectsCareerPhase, early career of John W. Campbell Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsCareerPhase Context triple: [Bahama Passage, reflectsCareerPhase, early career of John W. Campbell Jr.]
-
A.
appliesDuringCareerPhase
Indicates that something is relevant or in effect only during a specified phase of an entity’s career.
-
B.
chronologicallyPrecedesCareerPhase
Indicates that one career phase occurs earlier in time than another career phase.
-
C.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
D.
depictsCareerStage
chosen
Indicates that one entity visually represents or portrays a particular stage or phase in another entity’s career or professional development.
-
E.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b91177c08190bea6e62ed13e2495 |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:04 p.m.