Triple
T30406821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States v. Bernard J. Ebbers |
E773502
|
entity |
| Predicate | aimOfFraud |
P50822
|
FINISHED |
| Object | to maintain WorldCom’s stock price |
—
|
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: to maintain WorldCom’s stock price | Statement: [United States v. Bernard J. Ebbers, aimOfFraud, to maintain WorldCom’s stock price]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimOfFraud Context triple: [United States v. Bernard J. Ebbers, aimOfFraud, to maintain WorldCom’s stock price]
-
A.
aimOfAttacker
Indicates that a particular goal, target, or objective is what the attacker intends to achieve or affect.
-
B.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
C.
aimsToReveal
Indicates an intention or effort by one entity to make previously unknown, hidden, or unclear information, qualities, or facts apparent to another entity.
-
D.
usedMeansOfDeception
Indicates that one entity employed a particular method or tool specifically to deceive another entity.
-
E.
allegedGoal
chosen
Indicates that one entity is claimed or reported to have the goal or intended objective of another entity, without asserting that the goal is actually true.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6861f3dcc8190992842a0d87b041d |
completed | May 2, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:04 p.m.