Triple
T33310116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsavo man-eaters |
E852849
|
entity |
| Predicate | authorDocumentedBy |
P194029
|
FINISHED |
| Object | John Henry Patterson |
—
|
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: John Henry Patterson | Statement: [Tsavo man-eaters, authorDocumentedBy, John Henry Patterson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorDocumentedBy Context triple: [Tsavo man-eaters, authorDocumentedBy, John Henry Patterson]
-
A.
documentedBy
Indicates that something is recorded, described, or evidenced in a specific document or set of documents.
-
B.
authorDescribedIn
Indicates that information about an author is provided or discussed within a particular document or source.
-
C.
authorsDescribedBy
Indicates that an entity serves as a descriptive account or characterization of one or more authors.
-
D.
authoredWith
Indicates that two or more entities jointly created or wrote a work together.
-
E.
authorMentionedBy
Indicates that a given author is referenced or cited by another entity (such as a document, work, or person).
- F. None of above. chosen
Provenance (4 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: May 1, 2026, 1:33 a.m.