Triple
T33701593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garry Essendine |
E863467
|
entity |
| Predicate | isSemiAutobiographicalCounterpartOf |
P92658
|
FINISHED |
| Object | Noël Coward |
—
|
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: Noël Coward | Statement: [Garry Essendine, isSemiAutobiographicalCounterpartOf, Noël Coward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSemiAutobiographicalCounterpartOf Context triple: [Garry Essendine, isSemiAutobiographicalCounterpartOf, Noël Coward]
-
A.
semiAutobiographicalCharacter
chosen
Indicates that a character is based partly on the real-life experiences, personality, or identity of its creator or author, but is not a fully direct self-portrayal.
-
B.
hasAutobiographicalSubject
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.
-
C.
wroteAutobiographicalWork
Indicates that a person is the author of a written work that is an account of their own life.
-
D.
isSecondAutobiographyOf
Indicates that one work is the second autobiography written by or about a particular person.
-
E.
isBiographerOf
Indicates that one person has written a biography about another person.
- 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa8d59b88190832e66716f7170ab |
completed | May 3, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.