Triple
T3462977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juni Cortez |
E73070
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | OSS |
E16815
|
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: OSS | Statement: [Juni Cortez, affiliation, OSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSS Context triple: [Juni Cortez, affiliation, OSS]
-
A.
OSS
chosen
OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
-
B.
OSSE
OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
-
C.
OSS Society
The OSS Society is a nonprofit organization dedicated to honoring the legacy and preserving the history of the World War II-era Office of Strategic Services and its role in U.S. intelligence and special operations.
-
D.
Oss
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
-
E.
OSSPI
OSSPI is a U.S. federal office that leads government-wide efforts to improve performance, customer experience, and shared services across agencies.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0b73f481908c9f8d2b9b9bbbaf |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680170e081909c0d3a39a741280d |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.