Triple
T11210472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Markkula |
E265290
|
entity |
| Predicate | roleInCompanyFormation |
P25024
|
FINISHED |
| Object | early backer of Apple Computer |
—
|
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 backer of Apple Computer | Statement: [Mike Markkula, roleInCompanyFormation, early backer of Apple Computer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCompanyFormation Context triple: [Mike Markkula, roleInCompanyFormation, early backer of Apple Computer]
-
A.
roleInCompanyHistory
chosen
Indicates that an entity held a specific role or position during a particular period or event in a company's history.
-
B.
roleInStateFormation
Indicates that an entity played a contributing role in the process of establishing, consolidating, or transforming a state or political entity.
-
C.
underlyingCompanyRole
Indicates the specific function, position, or responsibility an entity holds within or in relation to a company.
-
D.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
E.
roleInFinance
Indicates that an entity holds a specific function, responsibility, or position within a financial context, system, or transaction.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d6f5d4819086dcb776a0d469e8 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf83464819087529d47d025d313 |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.