Triple
T657743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of California |
E11684
|
entity |
| Predicate | style |
P87
|
FINISHED |
| Object | The Honorable |
E6896
|
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: The Honorable | Statement: [Governor of California, style, The Honorable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Honorable Context triple: [Governor of California, style, The Honorable]
-
A.
The Honorable
chosen
"The Honorable" is a formal style of address used for certain public officials and dignitaries in the United States and other countries.
-
B.
Mister Speaker
Mister Speaker is the traditional formal address used for a male Speaker presiding over the United States House of Representatives.
-
C.
Her Excellency
"Her Excellency" is the formal honorific style used to address certain high-ranking officials and dignitaries, such as the Governor of New South Wales.
-
D.
Mr. Secretary
Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
-
E.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
- 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_69a5c39453208190928b61ad090e7e23 |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.