Triple
T32835247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stop-Time |
E839806
|
entity |
| Predicate | isAutobiographicalAccountOf |
P58275
|
FINISHED |
| Object | Frank Conroy |
—
|
NE NERFINISHED |
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: Frank Conroy | Statement: [Stop-Time, isAutobiographicalAccountOf, Frank Conroy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAutobiographicalAccountOf Context triple: [Stop-Time, isAutobiographicalAccountOf, Frank Conroy]
-
A.
hasAutobiographicalSubject
chosen
Indicates that something (such as a work, text, or narrative) has a subject that is the author or creator’s own life or personal experiences.
-
B.
wroteAutobiographicalWork
Indicates that a person is the author of a written work that is an account of their own life.
-
C.
hasAutobiographicalElements
Indicates that something, such as a work or narrative, contains elements drawn from the creator’s own life or personal experiences.
-
D.
isSecondAutobiographyOf
Indicates that one work is the second autobiography written by or about a particular person.
-
E.
isThirdAutobiographyOf
Indicates that one work is the third autobiography written by or about a particular person or entity in a sequence of autobiographical works.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.