Triple
T16918879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Recall |
E410389
|
entity |
| Predicate | replacementOutcome |
P124716
|
FINISHED |
| Object | plurality voted for Arnold Schwarzenegger |
—
|
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: plurality voted for Arnold Schwarzenegger | Statement: [The Recall, replacementOutcome, plurality voted for Arnold Schwarzenegger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacementOutcome Context triple: [The Recall, replacementOutcome, plurality voted for Arnold Schwarzenegger]
-
A.
replacementMember
Indicates that one entity serves as a substitute or successor taking over the role, position, or function previously held by another entity.
-
B.
replacementProject
Indicates that one entity is a project intended to replace or supersede another entity or project.
-
C.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
D.
replacementName
Indicates that one entity serves as a substitute or successor name for another entity, effectively replacing the original designation.
-
E.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdec3d0c8190994a0fca335c65d6 |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e32d7aae948190bc238d765795688c |
completed | April 18, 2026, 7:06 a.m. |
Created at: April 10, 2026, 5:30 a.m.