Triple
T15974571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manager of the Century |
E387410
|
entity |
| Predicate | notableRecipientRole |
P120689
|
FINISHED |
| Object | Chief Executive Officer of General Electric |
—
|
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: Chief Executive Officer of General Electric | Statement: [Manager of the Century, notableRecipientRole, Chief Executive Officer of General Electric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRecipientRole Context triple: [Manager of the Century, notableRecipientRole, Chief Executive Officer of General Electric]
-
A.
notableRecipient
Indicates that an entity has received a notable award, honor, or recognition from another entity.
-
B.
notableRecipientType
Indicates that an entity is notably recognized as a recipient of something (such as an award, honor, or distinction) of a specified type.
-
C.
notableHolderRole
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
-
D.
notableRecipientUnit
Indicates that an entity has received a notable award, honor, or recognition from the referenced unit or organization.
-
E.
notableFieldOfRecipients
Indicates that the recipients are notable or recognized specifically in a particular field or area of expertise.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:54 a.m.