Triple
T657842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gray Davis |
E11686
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object | Arnold Schwarzenegger |
E17440
|
NE 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: Arnold Schwarzenegger | Statement: [Gray Davis, replacedBy, Arnold Schwarzenegger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnold Schwarzenegger Context triple: [Gray Davis, replacedBy, Arnold Schwarzenegger]
-
A.
Arnold Schwarzenegger
chosen
Arnold Schwarzenegger is an Austrian-American actor, former professional bodybuilder, and politician who served as governor of California and became a major Hollywood action star.
-
B.
Jerry Brown
Jerry Brown is an American Democratic politician who served multiple terms as governor of California and ran several times for the U.S. presidency.
-
C.
Gray Davis
Gray Davis is an American Democratic politician who served as the 37th Governor of California from 1999 until his recall in 2003.
-
D.
George Deukmejian
George Deukmejian was an American Republican politician who served as the 35th governor of California from 1983 to 1991.
-
E.
Reagan Arthur
Reagan Arthur is an American book editor and publishing executive known for her influential leadership roles at major publishing houses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a4d77e0819098cdd416136fd374 |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:36 p.m.