Triple
T5924067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BuckleScript |
E131761
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Bloomberg L.P. |
E99160
|
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: Bloomberg L.P. | Statement: [BuckleScript, developer, Bloomberg L.P.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bloomberg L.P. Context triple: [BuckleScript, developer, Bloomberg L.P.]
-
A.
Bloomberg
chosen
Bloomberg is a global financial, software, data, and media company best known for its real-time financial information terminals and business news 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.
D. E. Shaw & Co.
D. E. Shaw & Co. is a prominent New York–based quantitative hedge fund and technology-driven investment firm known for its pioneering use of mathematical and computational strategies in finance.
-
E.
Morgan Stanley
Morgan Stanley is a leading global financial services firm known for its investment banking, securities, wealth management, and investment management services.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03851189c819094524e8b5080545e |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0483e3481908e50f8b34b11a878 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.