Triple
T36791330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Woodrow Wilson: A Psychological Study |
E909059
|
entity |
| Predicate | coAuthorName |
P2389
|
FINISHED |
| Object | William C. Bullitt |
—
|
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: William C. Bullitt | Statement: [Thomas Woodrow Wilson: A Psychological Study, coAuthorName, William C. Bullitt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coAuthorName Context triple: [Thomas Woodrow Wilson: A Psychological Study, coAuthorName, William C. Bullitt]
-
A.
coAuthorField
Indicates that two or more entities have jointly authored a work within the same academic or professional field.
-
B.
collaboratorName
Indicates that the predicate specifies the name of a person or entity who collaborates with another in some shared activity or project.
-
C.
hasCoauthor
chosen
Indicates that two or more entities have jointly authored the same work or publication.
-
D.
coAuthorAlsoWrote
Indicates that a person who is a co-author of one work also wrote another work, linking shared authorship across multiple creations.
-
E.
coAuthorshipType
Indicates the specific nature or category of the collaborative authorship relationship between two or more contributors.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.