Triple
T10916134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonidas of Tarentum |
E257826
|
entity |
| Predicate | survivingWorksCount |
P6221
|
FINISHED |
| Object | over 100 epigrams |
—
|
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: over 100 epigrams | Statement: [Leonidas of Tarentum, survivingWorksCount, over 100 epigrams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingWorksCount Context triple: [Leonidas of Tarentum, survivingWorksCount, over 100 epigrams]
-
A.
extentOfSurvivalOfWork
Indicates the degree to which a work has been preserved or remains extant.
-
B.
numberOfWorks
chosen
Indicates the total count of works associated with a given entity.
-
C.
survivingFrom
Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
-
D.
survivesFor
Indicates that one entity continues to exist, endure, or remain functional for a specified duration or period.
-
E.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707deb608190903b1066e19600d3 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.