Triple
T32435890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Muller |
E828862
|
entity |
| Predicate | yearOfWorkOrigin |
P61832
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Donald Muller, yearOfWorkOrigin, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfWorkOrigin Context triple: [Donald Muller, yearOfWorkOrigin, 2004]
-
A.
workOriginYear
chosen
Indicates the year in which a work (such as a creative, scholarly, or artistic piece) was originally created or first produced.
-
B.
originYear
Indicates the year in which something first originated, was created, or began.
-
C.
periodOfOriginOfSourceWork
Indicates the historical time period during which the original source work was created or first came into existence.
-
D.
decadeOfWorkOrigin
Indicates the decade during which a work was originally created, produced, or first came into existence.
-
E.
yearObserved
Indicates the specific calendar year during which the referenced event, condition, or measurement was observed or recorded.
- 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_69f3491bf298819097b610f772d54a6d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 12:55 a.m.