Triple
T35913044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Kimble Johnson |
E1038671
|
entity |
| Predicate | protagonistOfWorkIs |
P32529
|
FINISHED |
| Object | Navin R. Johnson |
—
|
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: Navin R. Johnson | Statement: [Marie Kimble Johnson, protagonistOfWorkIs, Navin R. Johnson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistOfWorkIs Context triple: [Marie Kimble Johnson, protagonistOfWorkIs, Navin R. Johnson]
-
A.
protagonistOfSameWork
Indicates that two entities both serve as protagonists within the same creative work or narrative.
-
B.
protagonistIs
chosen
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
C.
protagonistWorksFor
Indicates that the protagonist is employed by or under the authority of another entity (such as a person, organization, or group).
-
D.
protagonistBasedOn
Indicates that a fictional work’s main character is modeled on, inspired by, or derived from a particular real or fictional person or entity.
-
E.
protagonistNationality
Indicates the country or national identity to which the protagonist of a work is associated or belongs.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa34e9c81909d42a85ba04f7c20 |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.