Triple
T2908952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bear Stearns |
E63634
|
entity |
| Predicate | ratingDowngrade |
P35483
|
FINISHED |
| Object | credit ratings cut shortly before collapse in 2008 |
—
|
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: credit ratings cut shortly before collapse in 2008 | Statement: [Bear Stearns, ratingDowngrade, credit ratings cut shortly before collapse in 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ratingDowngrade Context triple: [Bear Stearns, ratingDowngrade, credit ratings cut shortly before collapse in 2008]
-
A.
rating
Indicates an evaluation relationship where one entity assigns a qualitative or quantitative score or judgment to another entity.
-
B.
ratingDescription
Indicates the textual explanation or qualitative summary associated with a given rating or score.
-
C.
decline
chosen
Indicates a decrease or reduction in the level, amount, quality, or intensity of something over time.
-
D.
down
Indicates that one entity is located at a lower position or level relative to another entity or reference point.
-
E.
lowerRank
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d329c88190b6fcaef0be1799eb |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.