Triple
T26962340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph DLG Torres |
E679079
|
entity |
| Predicate | precededByAsLieutenantGovernor |
P168583
|
FINISHED |
| Object | Jude Hofschneider |
—
|
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: Jude Hofschneider | Statement: [Ralph DLG Torres, precededByAsLieutenantGovernor, Jude Hofschneider]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByAsLieutenantGovernor Context triple: [Ralph DLG Torres, precededByAsLieutenantGovernor, Jude Hofschneider]
-
A.
precededByAsGovernor
Indicates that one individual previously held the position of governor before another specific individual.
-
B.
precededByAsChiefMinister
Indicates that one individual previously served as chief minister before another individual in a sequence of officeholders.
-
C.
precededInOfficeAsGovernorBy
Indicates that one individual assumed the role of governor after another specific individual, who held the office immediately before them.
-
D.
precededBy (Governor of California)
Indicates that one entity held the position of Governor of California before another entity in temporal order.
-
E.
precededBy (Governor of Maine)
Indicates that one entity held the position of Governor of Maine before 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 6:32 a.m.