Triple
T36346427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty |
E895077
|
entity |
| Predicate | hasConditionForAwakening |
P173557
|
FINISHED |
| Object | true love's kiss |
—
|
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: true love's kiss | Statement: [Sleeping Beauty, hasConditionForAwakening, true love's kiss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConditionForAwakening Context triple: [Sleeping Beauty, hasConditionForAwakening, true love's kiss]
-
A.
awakensBy
chosen
Indicates that one entity causes another entity to wake up from sleep or inactivity.
-
B.
awakensAfter
Indicates that one entity wakes up at a time that is later than the waking time of another entity.
-
C.
awakenedAt
Indicates the specific time or moment at which an entity woke up or became awake.
-
D.
awakensIn
Indicates that one entity comes out of sleep or becomes conscious while located within or inside another entity.
-
E.
hasProtagonistCondition
Indicates that the main character in a narrative has a particular condition, state, or affliction.
- 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_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.