Triple
T15726373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Repetition |
E381227
|
entity |
| Predicate | pseudonymousCorpus |
P32304
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Repetition, pseudonymousCorpus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pseudonymousCorpus Context triple: [Repetition, pseudonymousCorpus, yes]
-
A.
corpus
chosen
Indicates that an entity is a collection or body of texts, documents, or linguistic data used as a unified set for analysis or reference.
-
B.
pseudonymousAttribution
Indicates that an action, work, or statement is attributed to an entity using a pseudonym rather than their real identity.
-
C.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
D.
pseudonymOfWriter
Indicates that one entity is a pseudonym used by a writer who is represented by the other entity.
-
E.
pseudonymousProducerIs
Indicates that one entity is the pseudonymous producer (creator operating under a pseudonym) of another 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb357a88190a92641c8a8c20573 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.