Triple
T9615863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard J. Codey |
E232216
|
entity |
| Predicate | officeStartTime (Assembly) |
P89257
|
FINISHED |
| Object | 1974-01-08 |
—
|
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: 1974-01-08 | Statement: [Richard J. Codey, officeStartTime (Assembly), 1974-01-08]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Assembly) Context triple: [Richard J. Codey, officeStartTime (Assembly), 1974-01-08]
-
A.
officeStartTime (Secretary of Commerce)
Indicates the date and time at which a person begins serving in the role of Secretary of Commerce.
-
B.
officeStartTime (Administrator of UNDP)
Indicates the date and time at which the person began serving as Administrator of UNDP.
-
C.
officeStartTime (U.S. Attorney General)
Indicates the time at which the U.S. Attorney General officially begins their term in office.
-
D.
officeStartApproximate
Indicates that the start of a person’s term in office is known only approximately, not as an exact date.
-
E.
officeStartAfter
Indicates that one entity’s term or period in office begins after another specified time or event.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aad71a0819084ea00c2409e9922 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:09 p.m.