Triple
T7750774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 99-499 |
E175753
|
entity |
| Predicate | hasShortName |
P1354
|
FINISHED |
| Object | SARA |
unclear NED1
|
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: SARA | Statement: [99-499, hasShortName, SARA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SARA Context triple: [99-499, hasShortName, SARA]
-
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
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.
Sar
Sar is the family name of Pol Pot, the Cambodian revolutionary leader and dictator who headed the Khmer Rouge regime responsible for the Cambodian genocide.
-
D.
Sara
Sara is a language spoken in parts of Central Africa, particularly in Chad.
-
E.
Sara
Sara was the internal codename used by Apple for its Apple III personal computer during development.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b264c0819095c37534a676531d |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7c89e4c81909196638c159605b8 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:08 p.m.