Triple
T27151463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Letter to the Lord Chancellor Middleton |
E682399
|
entity |
| Predicate | hasAuthorRealIdentity |
P107441
|
FINISHED |
| Object | Jonathan Swift |
—
|
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: Jonathan Swift | Statement: [A Letter to the Lord Chancellor Middleton, hasAuthorRealIdentity, Jonathan Swift]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorRealIdentity Context triple: [A Letter to the Lord Chancellor Middleton, hasAuthorRealIdentity, Jonathan Swift]
-
A.
hasAuthorRealName
chosen
Indicates that an entity (such as a work or pseudonym) is associated with the actual, legal name of its author.
-
B.
basedOnAuthorRealName
Indicates that one entity is derived from, inspired by, or uses the real (legal) name of an author as its basis.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
E.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 9:14 a.m.