Triple
T32490941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik Andersen |
E830382
|
entity |
| Predicate | roleInBusyBox |
P201894
|
FINISHED |
| Object | major contributor |
—
|
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: major contributor | Statement: [Erik Andersen, roleInBusyBox, major contributor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBusyBox Context triple: [Erik Andersen, roleInBusyBox, major contributor]
-
A.
roleInBun
Indicates that an entity has a specific functional or contextual role within a particular bundle, grouping, or composite structure.
-
B.
roleInSSH
Indicates that an entity holds a specific role or function within an SSH (Secure Shell) connection or session.
-
C.
roleInFreeDOS
Indicates that an entity has a specific role, position, or function within the FreeDOS project or organization.
-
D.
roleInChickenfoot
Indicates that an entity participates in a game of Chickenfoot (a dominoes variant) in a specific role or capacity.
-
E.
roleInMCU
Indicates that one entity portrays or has a specific character role within the Marvel Cinematic Universe in relation to the other entity.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a002f0839fc8190a874d3b0d0826d7e |
completed | May 10, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_6a002eae7b6481909974b321e2789b7e |
completed | May 10, 2026, 7:07 a.m. |
| PDg | Predicate description generation | batch_6a002f071de88190b1fa4f5531a6cea7 |
completed | May 10, 2026, 7:08 a.m. |
Created at: May 1, 2026, 12:59 a.m.