Triple
T32148941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slim |
E821099
|
entity |
| Predicate | canBePenName |
P195694
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Slim, canBePenName, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBePenName Context triple: [Slim, canBePenName, true]
-
A.
hasPenNameSubject
Indicates that the subject entity uses or is known by a particular pen name or pseudonym.
-
B.
replacedByPenName
Indicates that an entity’s original name has been superseded or substituted by a pen name used by that entity.
-
C.
usedPseudonym
Indicates that an entity performed an action or participated in a context under a name that was not their real or primary identity.
-
D.
canBeFictionalCharacterName
Indicates that something is suitable or valid to be used as the name of a fictional character.
-
E.
firstPublishedUnderPseudonym
Indicates that a work’s initial publication occurred under a pseudonym rather than the creator’s real name.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69fddf70ab10819088b76bd98e208354 |
completed | May 8, 2026, 1:04 p.m. |
Created at: May 1, 2026, 12:31 a.m.