Triple
T18565259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Form 13D |
E453745
|
entity |
| Predicate | thresholdPercentage |
P14326
|
FINISHED |
| Object | more than 5 percent beneficial ownership |
—
|
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: more than 5 percent beneficial ownership | Statement: [Form 13D, thresholdPercentage, more than 5 percent beneficial ownership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thresholdPercentage Context triple: [Form 13D, thresholdPercentage, more than 5 percent beneficial ownership]
-
A.
thresholdFor
chosen
Indicates that one entity specifies the minimum or limiting value at which a condition, effect, or state involving another entity begins to occur or change.
-
B.
closureThreshold
Indicates the limit or boundary value at which a process, operation, or state is considered complete or closed.
-
C.
commitmentThreshold
Indicates the minimum level or degree of commitment required before a particular action, status, or relationship is established or recognized.
-
D.
goalPercentage
Indicates the proportion of a goal that has been achieved relative to its total target.
-
E.
creditPercentage
Indicates the proportion or share of credit assigned to an entity in relation to a particular outcome, contribution, or transaction.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afd8114819093b57d86f8213311 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:42 a.m.