Triple
T6066625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. Kingfisher |
E135175
|
entity |
| Predicate | usesPenNameFor |
P3799
|
FINISHED |
| Object | adult fiction |
—
|
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: adult fiction | Statement: [T. Kingfisher, usesPenNameFor, adult fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPenNameFor Context triple: [T. Kingfisher, usesPenNameFor, adult fiction]
-
A.
usedPseudonym
chosen
Indicates that an entity performed an action or participated in a context under a name that was not their real or primary identity.
-
B.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
C.
pseudonymInspiredBy
Indicates that a pseudonym was chosen or created based on, or in homage to, another name, person, work, or concept.
-
D.
pseudonymousProducerIs
Indicates that one entity is the pseudonymous producer (creator operating under a pseudonym) of another entity.
-
E.
nameUsedFor
Indicates that a particular name is used to refer to or designate a given 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573f17088190a728f1c290cc9d1d |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.