Triple
T22530920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hero and Leander |
E557032
|
entity |
| Predicate | numberOfSestiadsByMarlowe |
P148535
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Hero and Leander, numberOfSestiadsByMarlowe, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSestiadsByMarlowe Context triple: [Hero and Leander, numberOfSestiadsByMarlowe, 2]
-
A.
numberOfExtantPlays
Indicates the quantity of plays by an entity that are still in existence or have survived to the present.
-
B.
numberOfSonnets
Indicates the quantity of sonnets associated with a given entity.
-
C.
canonicallyAttributedPlays
Indicates that certain plays are officially or traditionally recognized as being authored by a particular creator.
-
D.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
E.
numberOfWestEndPerformances
Indicates the total count of performances of a production that took place in London’s West End.
- F. None of above. chosen
Provenance (4 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed6734881908abbbee477dfab98 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:51 p.m.