Triple
T2833277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assistant Secretary of Energy |
E62289
|
entity |
| Predicate | positionInvolves |
P6124
|
FINISHED |
| Object | management of large technical programs |
—
|
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: management of large technical programs | Statement: [Assistant Secretary of Energy, positionInvolves, management of large technical programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInvolves Context triple: [Assistant Secretary of Energy, positionInvolves, management of large technical programs]
-
A.
roleInvolves
chosen
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
B.
positionInWork
Indicates the specific role, rank, or placement an entity holds within a larger work or structured composition.
-
C.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
D.
subjectPosition
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
-
E.
hasPositionInOrganization
Indicates that an entity holds a specific role, job, or position within a particular organization.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdec036dc8190bc2d974f6d82eda9 |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.