Triple
T2683963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kweisi Mfume |
E57437
|
entity |
| Predicate | officeEndForUSHouseMD7_FirstTenure |
P4346
|
FINISHED |
| Object | 1996-02-18 |
—
|
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: 1996-02-18 | Statement: [Kweisi Mfume, officeEndForUSHouseMD7_FirstTenure, 1996-02-18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndForUSHouseMD7_FirstTenure Context triple: [Kweisi Mfume, officeEndForUSHouseMD7_FirstTenure, 1996-02-18]
-
A.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
B.
headOfHouseSince
Indicates the time point or date from which an entity has held the role or position of head of a particular household.
-
C.
hasBeenInGovernmentUntil
Indicates that an entity held a government position continuously up to a specified end time or date.
-
D.
firstOfficeHolderStart
Indicates the date or time when the first person to hold a particular office or position began their term.
-
E.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d7692c81909d8fd9ce3817161b |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.