Triple
T4056116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Folio of Shakespeare |
E84697
|
entity |
| Predicate | numberOfSurvivingCopies |
P17874
|
FINISHED |
| Object | around 230 |
—
|
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: around 230 | Statement: [First Folio of Shakespeare, numberOfSurvivingCopies, around 230]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSurvivingCopies Context triple: [First Folio of Shakespeare, numberOfSurvivingCopies, around 230]
-
A.
hasSurvivingOriginals
Indicates that some of the original instances or versions of an entity still exist and have not been lost, destroyed, or replaced.
-
B.
numberOfSurvivingPlays
Indicates the count of plays by an author or in a collection that are still extant rather than lost.
-
C.
haveApproximateCompleteCopies
Indicates that one entity possesses nearly full, but not necessarily perfectly exact, copies of another entity.
-
D.
numberOfInstances
chosen
Indicates the quantity or count of distinct occurrences or instances associated with a given entity or context.
-
E.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbabec608190a35d39d3d03b928b |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.