Triple
T1893550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arm Ltd. (acquisition attempt – terminated) |
E41925
|
entity |
| Predicate | FTCAction |
P23383
|
FINISHED |
| Object | lawsuit to block the acquisition |
—
|
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: lawsuit to block the acquisition | Statement: [Arm Ltd. (acquisition attempt – terminated), FTCAction, lawsuit to block the acquisition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FTCAction Context triple: [Arm Ltd. (acquisition attempt – terminated), FTCAction, lawsuit to block the acquisition]
-
A.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
B.
causeOfAction
chosen
Indicates that one entity is the reason or basis for initiating a legal action or lawsuit against another entity.
-
C.
implementsAct
Indicates that one entity carries out, executes, or puts into effect a specified act, plan, or directive associated with another entity.
-
D.
managedAct
Indicates that one entity oversaw, directed, or was responsible for carrying out a particular action or activity.
-
E.
forceType
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1497df08190ad90dd89f76208ca |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe7e7e88190b58c0df59187c0c2 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.