Triple
T143218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Strategic Services |
E2897
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
OSS
OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
|
E16815
|
NE FINISHED |
How this triple was built (4 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: OSS | Statement: [Office of Strategic Services, shortName, OSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSS Context triple: [Office of Strategic Services, shortName, OSS]
-
A.
NAS
NAS is a private, nonprofit society of distinguished scholars in the United States that advises the nation on matters related to science and technology.
-
B.
Ovi
Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
-
C.
Dropbox
Dropbox is a cloud-based file storage and collaboration company known for enabling users to easily sync and share files across devices.
-
D.
NSO
NSO is the commonly used abbreviation for the National Symphony Orchestra, a major American orchestra based in Washington, D.C.
-
E.
oN-Line System
The oN-Line System (NLS) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and interactive graphical user interfaces.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OSS Triple: [Office of Strategic Services, shortName, OSS]
Generated description
OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OSS Target entity description: OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
-
A.
NAS
NAS is a private, nonprofit society of distinguished scholars in the United States that advises the nation on matters related to science and technology.
-
B.
Ovi
Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
-
C.
Dropbox
Dropbox is a cloud-based file storage and collaboration company known for enabling users to easily sync and share files across devices.
-
D.
NSO
NSO is the commonly used abbreviation for the National Symphony Orchestra, a major American orchestra based in Washington, D.C.
-
E.
oN-Line System
The oN-Line System (NLS) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and interactive graphical user interfaces.
- F. None of above. chosen
Provenance (5 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257caf678819092e975d5167f9df4 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b860df1481909d6d64ac45dd6eae |
completed | Feb. 28, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69a2baa4ac048190957929b92e106233 |
completed | Feb. 28, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2bb038c648190a53442cedfa26ec0 |
completed | Feb. 28, 2026, 9:53 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.