Triple
T11998704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph McKenna |
E285595
|
entity |
| Predicate | termInCongressStart |
P15374
|
FINISHED |
| Object | 1885 |
—
|
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: 1885 | Statement: [Joseph McKenna, termInCongressStart, 1885]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termInCongressStart Context triple: [Joseph McKenna, termInCongressStart, 1885]
-
A.
parliamentaryTermStarted
Indicates that a specific parliamentary term has begun for a legislative body or member.
-
B.
startTimeAsUSCongressSeat
chosen
Indicates the date and time at which an individual officially begins serving in a specific seat in the U.S. Congress.
-
C.
endTimeMemberOfCongressFirstTerm
Indicates the date and time when an individual’s first term as a member of Congress concludes.
-
D.
representedInCongressSince
Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
-
E.
currentIncumbentStartYear
Indicates the year in which the entity’s current incumbent began their tenure or term in that role.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c26d7881909b67a31d04882eb5 |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.