Triple
T3234584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Father, Mark Twain |
E67821
|
entity |
| Predicate | authorRelationshipToSubject |
P29721
|
FINISHED |
| Object | daughter |
—
|
LITERAL FINISHED |
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: daughter | Statement: [My Father, Mark Twain, authorRelationshipToSubject, daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorRelationshipToSubject Context triple: [My Father, Mark Twain, authorRelationshipToSubject, daughter]
-
A.
hasAuthorRelationshipToSubject
Indicates that an entity serves as the author or creator of the specified subject.
-
B.
hasAuthorRelationship
chosen
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
C.
associatedScholar
Indicates a relationship where a scholar is linked or connected to another entity (such as a work, institution, or concept) through relevant academic or intellectual involvement.
-
D.
authorMentionedBy
Indicates that a given author is referenced or cited by another entity (such as a document, work, or person).
-
E.
editorRelationshipToSubject
Indicates that one entity serves as an editor for, or has an editorial role or responsibility in relation to, the subject entity.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaede0bdc8190a466f11bf2c50836 |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:08 p.m.