Triple
T17251902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Sesame |
E418775
|
entity |
| Predicate | opposesPhrase |
P126719
|
FINISHED |
| Object | Close 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: Close Sesame | Statement: [Open Sesame, opposesPhrase, Close Sesame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposesPhrase Context triple: [Open Sesame, opposesPhrase, Close Sesame]
-
A.
opposesLabel
Indicates that one entity expresses disagreement with, resistance to, or active opposition against another entity or its position.
-
B.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
C.
opposite
Indicates that one entity is positioned or oriented directly across from, or in a contrary or reverse relation to, another entity.
-
D.
theoryOpposed
Indicates that one theory stands in opposition to, or conflicts with, another theory.
-
E.
opposedApproach
Indicates that one entity actively disagrees with, resists, or works against the method, strategy, or course of action proposed or taken by another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:39 a.m.