Triple
T25621871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Eight accounting firms |
E642319
|
entity |
| Predicate | reasonForReductionToBigFour |
P2658
|
FINISHED |
| Object | firm mergers and collapse of Arthur Andersen |
—
|
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: firm mergers and collapse of Arthur Andersen | Statement: [Big Eight accounting firms, reasonForReductionToBigFour, firm mergers and collapse of Arthur Andersen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForReductionToBigFour Context triple: [Big Eight accounting firms, reasonForReductionToBigFour, firm mergers and collapse of Arthur Andersen]
-
A.
reasonForFolding
Indicates the cause or justification for an entity being folded, discontinued, or terminated.
-
B.
reasonForMerger
chosen
Indicates the underlying cause, motivation, or justification for why two or more entities merged.
-
C.
crewReductionReason
Indicates the reason or cause for a reduction in the size of a crew.
-
D.
reasonForRetrocession
Indicates the underlying cause or justification for a retrocession event or decision.
-
E.
reasonForNationalization
Indicates the underlying cause or justification for which an entity was nationalized by a state.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 21, 2026, 5:05 p.m.