Triple
T24857064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Menard, Author of the Quixote |
E622056
|
entity |
| Predicate | referencesAuthor |
P22411
|
FINISHED |
| Object | Miguel de Cervantes |
—
|
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: Miguel de Cervantes | Statement: [Pierre Menard, Author of the Quixote, referencesAuthor, Miguel de Cervantes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referencesAuthor Context triple: [Pierre Menard, Author of the Quixote, referencesAuthor, Miguel de Cervantes]
-
A.
authorMentionedBy
chosen
Indicates that a given author is referenced or cited by another entity (such as a document, work, or person).
-
B.
citationAs
Indicates that one entity is cited or referenced in the role or capacity specified by another entity (such as a particular work, version, or context).
-
C.
citationBy
Indicates that one work is cited or referenced by another work.
-
D.
authors
Indicates that one entity is the creator or writer of another entity, such as a document, work, or piece of content.
-
E.
authorSameAs
Indicates that two author identifiers or representations refer to the same underlying author.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:21 a.m.