Triple
T16007430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurley Reyes |
E388253
|
entity |
| Predicate | believesCursed |
P95786
|
FINISHED |
| Object | lottery numbers |
—
|
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: lottery numbers | Statement: [Hurley Reyes, believesCursed, lottery numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: believesCursed Context triple: [Hurley Reyes, believesCursed, lottery numbers]
-
A.
associatedCurse
Indicates that one entity is linked to, affected by, or bears responsibility for a particular curse related to another entity.
-
B.
curseCondition
Indicates a condition or state in which an entity is affected by a curse or cursed effect.
-
C.
hasCursedLocation
Indicates a relationship where a location is affected by or associated with a curse.
-
D.
hasSuperstition
Indicates that one entity holds or practices a particular superstition related to another entity or concept.
-
E.
characterBelief
chosen
Indicates that one character holds a belief, opinion, or assumption about another entity, situation, or proposition.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:55 a.m.