Triple
T30089985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Barassi |
E764702
|
entity |
| Predicate | militaryServiceOfFather |
P180045
|
FINISHED |
| Object | World War II |
—
|
NE NERFINISHED |
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: World War II | Statement: [Ron Barassi, militaryServiceOfFather, World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryServiceOfFather Context triple: [Ron Barassi, militaryServiceOfFather, World War II]
-
A.
militaryBranchOfFather
Indicates that the predicate links a person to the military branch in which their father served or is serving.
-
B.
personReferredToMilitaryService
Indicates that one person has directed, recommended, or assigned another person to perform military service.
-
C.
placeOfMilitaryService
Indicates the location or institution where a person performed their military service.
-
D.
stanceOnMilitaryService
Indicates an entity’s expressed position, attitude, or policy regarding military service.
-
E.
countryOfMilitaryService
Indicates that an entity served or is serving in the armed forces of a specified country.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 29, 2026, 7:05 p.m.