Triple
T21256326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-101 |
E523878
|
entity |
| Predicate | crewMember |
P2094
|
FINISHED |
| Object | Susan J. Helms |
—
|
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: Susan J. Helms | Statement: [STS-101, crewMember, Susan J. Helms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan J. Helms Context triple: [STS-101, crewMember, Susan J. Helms]
-
A.
Susan Helms
chosen
Susan Helms is a retired U.S. Air Force lieutenant general and NASA astronaut known for her long-duration spaceflights and record-setting spacewalk.
-
B.
Marsha Barbour
Marsha Barbour is an American public figure best known as the former First Lady of Mississippi and the wife of former Governor Haley Barbour.
-
C.
Elizabeth Dole
Elizabeth Dole is an American politician and former U.S. senator and cabinet secretary known for her leadership roles in government and public service.
-
D.
Marta Heflin
Marta Heflin was an American actress best known for her roles in several of Robert Altman’s ensemble films during the 1970s and 1980s.
-
E.
Nancy Kassebaum
Nancy Kassebaum is an American politician who served as a U.S. Senator from Kansas from 1978 to 1997 and was known for her moderate Republican views and work on foreign policy and health issues.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a1f9e08190b494f582bcae5c35 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:58 p.m.