Triple
T17251855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forty Thieves |
E418774
|
entity |
| Predicate | usesPassword |
P108447
|
FINISHED |
| Object | Open, Sesame |
—
|
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: Open, Sesame | Statement: [Forty Thieves, usesPassword, Open, Sesame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPassword Context triple: [Forty Thieves, usesPassword, Open, Sesame]
-
A.
usedPassword
chosen
Indicates that one entity has employed or entered another entity as a password for authentication or access.
-
B.
storesPasswordAs
Indicates that one entity keeps or maintains another entity’s password in a particular form or location.
-
C.
passwordProtectedBy
Indicates that access to an entity is restricted and can only be obtained by providing a specific password associated with another entity.
-
D.
hasPass
Indicates that an entity possesses or has been granted a pass, such as a ticket, permit, or authorization to access something.
-
E.
requiresPass
Indicates that access to or participation in something is conditional on possessing a valid pass.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e694f788190a1c86e95264ed2fe |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.