Triple
T8758335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ron Reagan Show |
E208128
|
entity |
| Predicate | hostFatherOccupation |
P2600
|
FINISHED |
| Object | President of the United States |
—
|
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: President of the United States | Statement: [The Ron Reagan Show, hostFatherOccupation, President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostFatherOccupation Context triple: [The Ron Reagan Show, hostFatherOccupation, President of the United States]
-
A.
fatherOccupation
chosen
Indicates the type of job or profession held by a person's father.
-
B.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
C.
siblingOccupation
Indicates that one person has a sibling whose job or profession is the specified occupation.
-
D.
fatherAffiliation
Indicates that there is an affiliation or organizational association involving a person's father.
-
E.
originalHolderOccupation
Indicates the occupation or professional role held by the entity that originally possessed or owned another entity.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddc2d9c81908948aee2b956cce4 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.