Triple
T26951589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Bieber |
E678788
|
entity |
| Predicate | ledOrganizationDuring |
P161369
|
FINISHED |
| Object | industrial challenges in the U.S. auto industry |
—
|
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: industrial challenges in the U.S. auto industry | Statement: [Owen Bieber, ledOrganizationDuring, industrial challenges in the U.S. auto industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledOrganizationDuring Context triple: [Owen Bieber, ledOrganizationDuring, industrial challenges in the U.S. auto industry]
-
A.
organizationLed
Indicates that one organization provides leadership, direction, or governance over another organization or collective effort.
-
B.
ledFrom
Indicates that one entity served as the source or origin from which another entity was led or guided.
-
C.
leadingOrgan
Indicates that one entity serves as the primary or most responsible organizing body or authority for another entity or activity.
-
D.
organisedDuring
Indicates that an organizing action or arrangement took place within the time span of a specified event or period.
-
E.
organizedDuring
Indicates that an event or activity was arranged or took place within a specified time period or temporal context.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62089ffe48190b0f7ea25369b1fbf |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:24 a.m.