Triple
T17910900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T.O.M. |
E447815
|
entity |
| Predicate | hasCompanion |
P22642
|
FINISHED |
| Object | S.A.R.A. |
E447816
|
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: S.A.R.A. | Statement: [T.O.M., hasCompanion, S.A.R.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S.A.R.A. Context triple: [T.O.M., hasCompanion, S.A.R.A.]
-
A.
SARA
SARA is the common short name for the U.S. Superfund Amendments and Reauthorization Act, which expanded and strengthened the federal Superfund program for cleaning up hazardous waste sites.
-
B.
SARA
chosen
SARA is the AI host and interface character of Cartoon Network’s Toonami programming block, known for guiding viewers through shows and bumps in a futuristic setting.
-
C.
SARA
SARA is the commonly used acronym for Canada’s Species at Risk Act, a federal law designed to protect endangered and threatened wildlife and their habitats.
-
D.
SARON
SARON is a Swiss franc overnight reference interest rate used as a robust alternative to LIBOR in financial markets.
-
E.
SARU
SARU is the governing body responsible for overseeing and administering rugby union in South Africa, including the national Springboks team.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b3037b0819092e1212feb73e29d |
completed | May 12, 2026, 12:21 p.m. |
Created at: April 10, 2026, 10:19 a.m.