Triple
T36346414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty |
E895077
|
entity |
| Predicate | hasEarliestMajorVersion |
P64203
|
FINISHED |
| Object | Charles Perrault |
—
|
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: Charles Perrault | Statement: [Sleeping Beauty, hasEarliestMajorVersion, Charles Perrault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEarliestMajorVersion Context triple: [Sleeping Beauty, hasEarliestMajorVersion, Charles Perrault]
-
A.
isOldestMajor
Indicates that the subject is the oldest entity among a specified group that meets a defined age or maturity threshold.
-
B.
hasEarliestMajorCorpus
Indicates that one entity is associated with the earliest significant or primary body of work (major corpus) relative to other comparable entities.
-
C.
hasFirstVersion
Indicates that one entity is the earliest or original version in a sequence of versions related to another entity.
-
D.
earliestVersionDate
Indicates the date on which the earliest known or first version of an entity was created, released, or became valid.
-
E.
firstMajorVersionBy
chosen
Indicates that one entity is the earliest or initial major version created or released by another entity.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:09 p.m.