Triple
T25706794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter |
E644612
|
entity |
| Predicate | clubPasswordUsage |
P158997
|
FINISHED |
| Object | Enforces use of club password |
—
|
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: Enforces use of club password | Statement: [Peter, clubPasswordUsage, Enforces use of club password]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubPasswordUsage Context triple: [Peter, clubPasswordUsage, Enforces use of club password]
-
A.
accessesPass
Indicates that one entity uses or is granted a pass (such as a credential, ticket, or authorization token) to gain entry to or make use of another entity.
-
B.
usedPass
Indicates that one entity has utilized or redeemed a pass, ticket, or similar authorization instrument.
-
C.
houseCommonRoomPasswordIncident
Indicates an event or situation involving the password for a house’s common room, such as its use, change, compromise, or related security issue.
-
D.
usedPassword
Indicates that one entity has employed or entered another entity as a password for authentication or access.
-
E.
crewAccess
Indicates that one entity has permission or authorization to access or enter an area, resource, or function reserved for crew members.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc113b40819088a0d53c824097e4 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 9:05 p.m.