Triple
T29163980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathew Brady Studio |
E739263
|
entity |
| Predicate | documentedSubject |
P148698
|
FINISHED |
| Object | Abraham Lincoln |
—
|
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: Abraham Lincoln | Statement: [Mathew Brady Studio, documentedSubject, Abraham Lincoln]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentedSubject Context triple: [Mathew Brady Studio, documentedSubject, Abraham Lincoln]
-
A.
documentedBy
Indicates that something is recorded, described, or evidenced in a specific document or set of documents.
-
B.
documentedUsing
Indicates that something is recorded, described, or specified by means of a particular document, tool, or documentation method.
-
C.
documentedThrough
Indicates that something is recorded, evidenced, or made known by means of a specific document or documentation process.
-
D.
documentedPerson
chosen
Indicates that a person is the subject of documentation or records in some source or system.
-
E.
hasBeenSubjectOf
Indicates that an entity has previously been the focus or target of a particular action, process, or investigation.
- 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_69f07cb528fc8190a556b73990c347c8 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 11:49 a.m.