Triple
T17139604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice Chair of the United States House Select Committee on the January 6 Attack |
E415928
|
entity |
| Predicate | officeHolderDateOfBirth |
P23799
|
FINISHED |
| Object | 1966-07-28 |
—
|
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: 1966-07-28 | Statement: [Vice Chair of the United States House Select Committee on the January 6 Attack, officeHolderDateOfBirth, 1966-07-28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderDateOfBirth Context triple: [Vice Chair of the United States House Select Committee on the January 6 Attack, officeHolderDateOfBirth, 1966-07-28]
-
A.
officeHolderAsOf
Indicates that a person holds or held a specific office or position as of a particular date or point in time.
-
B.
officeHolderAtTime
Indicates that a person holds or held a particular office or position during a specified time period.
-
C.
titleHolderBirthDate
chosen
Indicates the date on which the person holding a particular title or position was born.
-
D.
creatorBirthDate
Indicates the date on which the creator of an entity was born.
-
E.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d318a88190aae8d776376c8053 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.