Triple
T10625621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Title X |
E250314
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Title X of SARA |
E175752
|
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: Title X of SARA | Statement: [Title X, shortName, Title X of SARA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Title X of SARA Context triple: [Title X, shortName, Title X of SARA]
-
A.
SARA
chosen
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.
SASR
SASR is an elite Australian Army special forces unit renowned for its covert reconnaissance, counter-terrorism, and direct action operations.
-
D.
Serving Sara
Serving Sara is a 2002 romantic comedy film starring Elizabeth Hurley and Matthew Perry, centered on a process server whose job goes awry when he helps the woman he's supposed to serve.
-
E.
SRA
SRA is the abbreviation for the former UK government body, the Strategic Rail Authority, which was responsible for overseeing and planning the country’s rail network.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df80a30c81909f36fe221cf68822 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b9a27f881908e451bfa6c118af4 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:54 p.m.