Triple
T17517058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Hugunin |
E426594
|
entity |
| Predicate | roleAtMicrosoft |
P127726
|
FINISHED |
| Object | architect for dynamic languages |
—
|
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: architect for dynamic languages | Statement: [Jim Hugunin, roleAtMicrosoft, architect for dynamic languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtMicrosoft Context triple: [Jim Hugunin, roleAtMicrosoft, architect for dynamic languages]
-
A.
roleInIntegration
Indicates the specific function or responsibility an entity has within a combined or coordinated system, process, or integration.
-
B.
roleAtGitHub
Indicates the specific position, title, or function an entity holds within GitHub.
-
C.
roleInTeamViewer
Indicates the specific function, position, or responsibility an entity holds within a TeamViewer-related team or collaborative setup.
-
D.
roleWithinDaimler
Indicates that one entity holds or has held a specific role, position, or function within the Daimler organization.
-
E.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452615a8481909974e9855ea7a8e4 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.