Triple
T33966558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Professor |
E870869
|
entity |
| Predicate | publishedUnderPenName |
P199296
|
FINISHED |
| Object | Currer Bell |
—
|
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: Currer Bell | Statement: [The Professor, publishedUnderPenName, Currer Bell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publishedUnderPenName Context triple: [The Professor, publishedUnderPenName, Currer Bell]
-
A.
firstPublishedUnderPseudonym
Indicates that a work’s initial publication occurred under a pseudonym rather than the creator’s real name.
-
B.
revealedAsPseudonymIn
Indicates that one identity or name is disclosed or recognized as a pseudonym within a particular context, work, or source.
-
C.
replacedByPenName
Indicates that an entity’s original name has been superseded or substituted by a pen name used by that entity.
-
D.
directedUnderPseudonym
Indicates that a work was directed by a person using a pseudonym rather than their real name.
-
E.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
- F. None of above. chosen
Provenance (4 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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff2d22ffb48190ae58ddf3c7e02869 |
completed | May 9, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69ff2ac2e1c4819096cc64e94aef2ff0 |
completed | May 9, 2026, 12:38 p.m. |
| PDg | Predicate description generation | batch_69ff2d21f0a48190ad2ef5901cb07d93 |
completed | May 9, 2026, 12:48 p.m. |
Created at: May 1, 2026, 1:50 a.m.