Triple
T11998705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph McKenna |
E285595
|
entity |
| Predicate | termInCongressEnd |
P15375
|
FINISHED |
| Object | 1892 |
—
|
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: 1892 | Statement: [Joseph McKenna, termInCongressEnd, 1892]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termInCongressEnd Context triple: [Joseph McKenna, termInCongressEnd, 1892]
-
A.
congressEndedOn
Indicates the date or time at which a particular session or term of a congress officially concluded.
-
B.
officeholderEndTime
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
C.
lastOfficeholderEndDate
Indicates the date on which the most recent officeholder’s term in a given position or office ended.
-
D.
partyLeadershipEndTime
Indicates the time at which an entity’s leadership role within a political party or organization comes to an end.
-
E.
endTimeAsUSCongressSeat
chosen
Indicates the date and time at which a person’s tenure in a specific seat in the U.S. Congress comes to an end.
- 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.