Triple
T33926638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Prosecutor |
E869769
|
entity |
| Predicate | subsequentOfficeholder |
P33240
|
FINISHED |
| Object | Henry Ruth (acting) |
—
|
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: Henry Ruth (acting) | Statement: [Special Prosecutor, subsequentOfficeholder, Henry Ruth (acting)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentOfficeholder Context triple: [Special Prosecutor, subsequentOfficeholder, Henry Ruth (acting)]
-
A.
successorOfficeHolder
chosen
Indicates that one office holder directly follows another in occupying the same official position.
-
B.
lastOfficeHolderLaterBecame
Indicates that the person who most recently held a given office subsequently went on to hold another specified office or role.
-
C.
namedAfterOfficeholder
Indicates that one entity is named in honor of, or derived from the name of, a person who has held a particular public or official office.
-
D.
successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
-
E.
subsequentHeadOfGovernment
Indicates that one entity served as the next head of government following another entity in an official succession.
- F. None of above.
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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.