Triple
T3615140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Zwerg |
E76581
|
entity |
| Predicate | hasGiven |
P50434
|
FINISHED |
| Object | public speeches about his Freedom Rider experiences |
—
|
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: public speeches about his Freedom Rider experiences | Statement: [Jim Zwerg, hasGiven, public speeches about his Freedom Rider experiences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGiven Context triple: [Jim Zwerg, hasGiven, public speeches about his Freedom Rider experiences]
-
A.
isGivenAt
Indicates that an event, service, or item is provided or occurs at a specific time or place.
-
B.
hasHad
Indicates that an entity previously experienced, possessed, or was involved in something at some point in the past.
-
C.
givenAs
Indicates that something is provided, presented, or assigned to a recipient in a specified role, form, or capacity.
-
D.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
E.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27b5e008190a72a8dab7d736e64 |
completed | March 8, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69adb83f1e4c8190ab501c1c05b14c08 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb9bbb62c8190989629ca11733e1b |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 8, 2026, 3:23 p.m.