Triple
T20773757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Just one more thing" |
E511302
|
entity |
| Predicate | effectOnSuspects |
P141464
|
FINISHED |
| Object | lowers defenses |
—
|
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: lowers defenses | Statement: ["Just one more thing", effectOnSuspects, lowers defenses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnSuspects Context triple: ["Just one more thing", effectOnSuspects, lowers defenses]
-
A.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
B.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
C.
effectOnPrisoners
Indicates the impact or consequences that something has on prisoners.
-
D.
suspectedPerpetrator
Indicates that an entity is believed or alleged to be the person responsible for committing a particular harmful or illegal act.
-
E.
resultOfAccusation
Indicates that one entity is the outcome, consequence, or product of an accusation made 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c269638881909d96b847f7de5585 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:37 p.m.