Triple
T2908959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bear Stearns |
E63634
|
entity |
| Predicate | notableCompetitor |
P11706
|
FINISHED |
| Object | Morgan Stanley |
E99565
|
NE 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: Morgan Stanley | Statement: [Bear Stearns, notableCompetitor, Morgan Stanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Stanley Context triple: [Bear Stearns, notableCompetitor, Morgan Stanley]
-
A.
Morgan Stanley
chosen
Morgan Stanley is a leading global financial services firm known for its investment banking, securities, wealth management, and investment management services.
-
B.
Goldman Sachs
Goldman Sachs is a leading global investment banking, securities, and asset management firm headquartered in New York City.
-
C.
Citigroup
Citigroup is a major American multinational investment bank and financial services corporation headquartered in New York City.
-
D.
Merrill Lynch
Merrill Lynch is a major American wealth management and investment banking firm known for its brokerage services and role in global financial markets.
-
E.
Cantor Fitzgerald
Cantor Fitzgerald is a New York–based financial services firm and brokerage known for its bond trading operations and for suffering devastating losses in the September 11, 2001 attacks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0865c719c8190aacafe236b02c844 |
completed | March 10, 2026, 9 p.m. |
Created at: March 6, 2026, 10:11 p.m.