Triple
T36384986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Palmer |
E896165
|
entity |
| Predicate | pseudonymousAuthorOf |
P70072
|
FINISHED |
| Object | "The House of Dr. Edwardes" |
—
|
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: "The House of Dr. Edwardes" | Statement: [John Palmer, pseudonymousAuthorOf, "The House of Dr. Edwardes"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pseudonymousAuthorOf Context triple: [John Palmer, pseudonymousAuthorOf, "The House of Dr. Edwardes"]
-
A.
pseudonymOfWriter
Indicates that one entity is a pseudonym used by a writer who is represented by the other entity.
-
B.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
C.
pseudonymousProducerIs
Indicates that one entity is the pseudonymous producer (creator operating under a pseudonym) of another entity.
-
D.
pseudonymousAttribution
chosen
Indicates that an action, work, or statement is attributed to an entity using a pseudonym rather than their real identity.
-
E.
directedUnderPseudonym
Indicates that a work was directed by a person using a pseudonym rather than their real name.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.