Triple
T31200732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lange |
E795467
|
entity |
| Predicate | authorProfessionOf |
P138401
|
FINISHED |
| Object | Michael Crichton |
—
|
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: Michael Crichton | Statement: [John Lange, authorProfessionOf, Michael Crichton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorProfessionOf Context triple: [John Lange, authorProfessionOf, Michael Crichton]
-
A.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
B.
publisherProfessionOfAuthor
Indicates that the profession specified is the occupation or professional role of the author associated with a given publisher.
-
C.
hasAuthorOccupationOfAuthor
chosen
Indicates that an author has a specific occupation or professional role.
-
D.
coAuthorOccupation
Indicates that two or more co-authors share the same or closely related professional occupation.
-
E.
memberProfession
Indicates that a member or individual holds or practices a particular profession or occupation.
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: April 29, 2026, 9:09 p.m.