Triple
T20859209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Andersen |
E513569
|
entity |
| Predicate | reputationBeforeScandal |
P142135
|
FINISHED |
| Object | Highly respected in accounting profession |
—
|
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: Highly respected in accounting profession | Statement: [Arthur Andersen, reputationBeforeScandal, Highly respected in accounting profession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reputationBeforeScandal Context triple: [Arthur Andersen, reputationBeforeScandal, Highly respected in accounting profession]
-
A.
scopeOfReputation
Indicates the range or extent within which an entity’s reputation is recognized, relevant, or has effect.
-
B.
preFireReputation
Indicates the reputation or standing an entity had before a particular fire-related event or incident occurred.
-
C.
reputationBefore1969
Indicates that one entity had a particular reputation or standing in relation to another entity prior to the year 1969.
-
D.
causeOfReputation
Indicates that one entity is the reason or source for another entity’s reputation.
-
E.
hasNotableReputation
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3aabef4819098f0fd24dcc27dbd |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:44 p.m.