Triple
T33109278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Metris Pindari |
E847281
|
entity |
| Predicate | studiesWorkOf |
P175786
|
FINISHED |
| Object | Pindar |
—
|
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: Pindar | Statement: [De Metris Pindari, studiesWorkOf, Pindar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesWorkOf Context triple: [De Metris Pindari, studiesWorkOf, Pindar]
-
A.
studiesWork
chosen
Indicates that one entity engages in academic or systematic study of another entity’s work or output.
-
B.
studiesPeople
Indicates that one person systematically examines, researches, or learns about other people.
-
C.
studiesIn
Indicates that a person is enrolled as a student at, and pursues their studies within, a particular educational institution or program.
-
D.
notableWorkConductedBy
Indicates that a particular notable work (such as a project, study, or creation) was carried out or executed by a specific agent or entity.
-
E.
alsoStudies
Indicates that an entity engages in studying an additional subject or field alongside another already being studied.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:27 a.m.