Triple
T2908953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bear Stearns |
E63634
|
entity |
| Predicate | liquidityCrisis |
P25265
|
FINISHED |
| Object | experienced severe run on liquidity in March 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: experienced severe run on liquidity in March 2008 | Statement: [Bear Stearns, liquidityCrisis, experienced severe run on liquidity in March 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liquidityCrisis Context triple: [Bear Stearns, liquidityCrisis, experienced severe run on liquidity in March 2008]
-
A.
majorCrisis
Indicates a severe, high-impact crisis or emergency situation affecting an entity or system.
-
B.
hasLiquidityCharacteristic
chosen
Indicates that one entity possesses or is associated with a particular liquidity-related property or feature in relation to another entity.
-
C.
crisisRelatedTo
Indicates a relationship where one situation, event, or condition is connected to, associated with, or relevant to a crisis.
-
D.
notableBailout
Indicates that one entity has provided a bailout to another that is considered especially significant or noteworthy in scale, impact, or public attention.
-
E.
capitalControlsImposed
Indicates that restrictions or regulations have been put in place to limit or manage the flow of capital or financial transactions across borders.
- 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.