Triple
T17568593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Federighi |
E427878
|
entity |
| Predicate | hasEmployerRoleSince |
P125493
|
FINISHED |
| Object | 2012 as Senior Vice President of Software Engineering (approximate) |
—
|
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: 2012 as Senior Vice President of Software Engineering (approximate) | Statement: [Craig Federighi, hasEmployerRoleSince, 2012 as Senior Vice President of Software Engineering (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmployerRoleSince Context triple: [Craig Federighi, hasEmployerRoleSince, 2012 as Senior Vice President of Software Engineering (approximate)]
-
A.
employedAtTime
chosen
Indicates that an employment relationship holds during a specified time or time interval.
-
B.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
C.
hasIndustryRole
Indicates that an entity holds or performs a specific role, function, or position within a particular industry or sector.
-
D.
employedAfter
Indicates that one entity became employed by another entity at a point in time later than a referenced employment event or period.
-
E.
hasMajorEmployerHistory
Indicates that an entity has a documented history of employment with a major or significant employer.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592f29d08190bc3de905d35af849 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.