Triple
T17817102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Christie |
E444873
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Encode OSS |
—
|
NE NERFINISHED |
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: Encode OSS | Statement: [Tom Christie, founded, Encode OSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Encode OSS Context triple: [Tom Christie, founded, Encode OSS]
-
A.
Encode OSS
chosen
Encode OSS is an open-source software organization best known for creating high-performance Python web frameworks and tools such as Starlette and HTTPX.
-
B.
OSS
OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
-
C.
OSS
OSS is the station code for Ossington station on Toronto's Line 2 Bloor–Danforth subway.
-
D.
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.
-
E.
oss
oss is the ISO 639-3 language code for the Ossetian (Iron) language spoken primarily in the Caucasus region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48880457c81908214741d6cd7a1ee |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.