Triple
T8315055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O. Henry |
E194684
|
entity |
| Predicate | beganWritingProfessionally |
P67641
|
FINISHED |
| Object | while imprisoned in Ohio Penitentiary |
—
|
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: while imprisoned in Ohio Penitentiary | Statement: [O. Henry, beganWritingProfessionally, while imprisoned in Ohio Penitentiary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganWritingProfessionally Context triple: [O. Henry, beganWritingProfessionally, while imprisoned in Ohio Penitentiary]
-
A.
startTimeOfProfessionalCareer
chosen
Indicates the point in time when an individual’s professional career formally begins.
-
B.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
-
C.
hasWrittenFiction
Indicates that one entity is the creator or author of fictional written works associated with another entity.
-
D.
firstPoemWrittenAt
Indicates the time or date at which an entity’s first poem was written.
-
E.
writtenByAtAge
Indicates that something was written by a particular entity when that entity was a specified age.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f540b2081908ccb1b2ed040c74e |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:55 p.m.