Triple
T17062936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lysippus |
E414007
|
entity |
| Predicate | numberOfWorksAttributedInAntiquity |
P6221
|
FINISHED |
| Object | over 1500 |
—
|
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 1500 | Statement: [Lysippus, numberOfWorksAttributedInAntiquity, over 1500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorksAttributedInAntiquity Context triple: [Lysippus, numberOfWorksAttributedInAntiquity, over 1500]
-
A.
numberOfWorks
chosen
Indicates the total count of works associated with a given entity.
-
B.
attestedInWorksOf
Indicates that something (such as a claim, form, or usage) is documented or evidenced within the works produced by a particular author or creator.
-
C.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
D.
eraOfMajorWorks
Indicates the historical period during which an entity produced its most significant or influential works.
-
E.
reputationInAntiquity
Indicates the reputation or standing an entity had during ancient times.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7eb0808190ae1b0044e2b5cbd7 |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.